WO2024212842A1 - Hair processing method and apparatus, and electronic device and storage medium - Google Patents

Abstract

Provided in the embodiments of the present disclosure are a hair processing method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring hair data, and dividing the hair data into guide hair and ordinary hair; processing the guide hair on the basis of an initial pose thereof, so as to obtain a simulation pose of the guide hair; according to the simulation pose and the initial pose of the guide hair, obtaining motion information of the guide hair, wherein the motion information represents a posture change feature of the simulation pose of the guide hair relative to the initial pose of the guide hair; and obtaining a hair rendering image according to the motion information and an initial pose of the ordinary hair.

Description

Hair processing method, device, electronic device and storage medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is based on and claims the priority of a Chinese patent application with application number 202310397317.2 and application date April 12, 2023. The disclosed content of the Chinese patent application is hereby introduced as a whole into this application.

Technical Field

The embodiments of the present disclosure relate to the field of image processing technology, and in particular to a hair processing method, device, electronic device and storage medium.

Background Art

Currently, in the fields of short video generation and game production, in order to pursue more realistic visual effects, the hair of humans or animals is dynamically simulated on a hair-by-hair basis to produce realistic visual effects. In this process, it is necessary to simulate the motion state of the hair based on the hair data to obtain the simulated pose of the hair in the next frame of the image, and then render based on the simulated pose to realize the movement of the hair.

However, due to the huge number of hairs contained in the hair data, it is difficult to achieve independent simulation of each hair while meeting the real-time rendering requirements. Therefore, the solution in the related art is usually to simulate only the guide hair in the hair data, and then apply the simulated pose of the guide hair to other ordinary hair, so as to achieve simulation of all hairs.

Summary of the invention

Embodiments of the present disclosure provide a hair processing method, device, electronic device, and storage medium.

In a first aspect, an embodiment of the present disclosure provides a hair treatment method, comprising:

The hair data is acquired, and the hair data is divided into guide hair and common hair; the guide hair is processed based on its initial posture to obtain a simulated posture of the guide hair; motion information of the guide hair is obtained according to the simulated posture and the initial posture of the guide hair, wherein the motion information represents a posture change feature of the simulated posture of the guide hair relative to the initial posture of the guide hair; a hair rendering image is obtained according to the motion information and the initial posture of the common hair.

In a second aspect, an embodiment of the present disclosure provides a hair processing device, comprising:

An acquisition module, used for acquiring hair data and dividing the hair data into guide hair and ordinary hair;

A simulation module is used to process the guide hair based on its initial posture to obtain a simulation posture of the guide hair. posture;

a processing module, configured to obtain motion information of the guide hair according to the simulated pose and the initial pose of the guide hair, wherein the motion information represents a posture change feature of the simulated pose of the guide hair relative to the initial pose of the guide hair;

A rendering module is used to obtain a hair rendering image according to the motion information and the initial position of the ordinary hair.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including:

A processor, and a memory communicatively connected to the processor;

The memory stores computer-executable instructions;

The processor executes the computer-executable instructions stored in the memory to implement the hair processing method as described in the first aspect and various possible designs of the first aspect.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer execution instructions. When a processor executes the computer execution instructions, the hair processing method described in the first aspect and various possible designs of the first aspect is implemented.

In a fifth aspect, an embodiment of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the hair processing method as described in the first aspect and various possible designs of the first aspect.

The hair processing method, device, electronic device and storage medium provided in the present embodiment obtain hair data, the hair data is used to characterize the initial posture of the guide hair and the initial posture of the common hair corresponding to the guide hair; based on the hair data, the guide hair is simulated to obtain the simulated posture of the guide hair; according to the simulated posture and the initial posture of the guide hair, the motion information of the guide hair is obtained, the motion information characterizes the posture change characteristics of the simulated posture of the guide hair relative to the initial posture of the guide hair; according to the motion information and the initial posture of the common hair, a hair rendering image is obtained. The motion information characterizing the posture change characteristics of the guide hair is obtained through the simulated posture of the guide hair, and the motion information is used as the posture change amount to redirect the common hair, so that the common hair obtains the corresponding simulation result based on the original initial posture combined with the motion information, thereby obtaining the hair rendering image.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

FIG1 is a diagram showing an application scenario of a hair treatment method provided by an embodiment of the present disclosure;

FIG2 is a schematic diagram of a first flow chart of a hair treatment method according to an embodiment of the present disclosure;

FIG3 is a schematic diagram of a posture of a hair provided by an embodiment of the present disclosure;

FIG4 is a schematic diagram of the positions of a guide hair and a normal hair provided by an embodiment of the present disclosure;

FIG5 is a flow chart of a specific implementation of step S102 in the embodiment shown in FIG2 ;

FIG6 is a schematic diagram of a particle motion state of a hair particle provided by an embodiment of the present disclosure;

FIG7 is a flow chart of a specific implementation of step S103 in the embodiment shown in FIG2 ;

FIG8 is a schematic diagram of a process of generating a simulated posture of ordinary hair provided by an embodiment of the present disclosure;

FIG9 is a second flow chart of the hair treatment method provided by an embodiment of the present disclosure;

FIG10 is a flowchart of a specific implementation of step S203 in the embodiment shown in FIG9 ;

FIG11 is a flowchart of another specific implementation of step S203 in the embodiment shown in FIG9 ;

FIG12 is a schematic diagram of a virtual hair particle provided by an embodiment of the present disclosure;

FIG13 is a schematic diagram of generating weighted motion information provided by an embodiment of the present disclosure;

FIG14 is a flowchart of a specific implementation method of step S208 in the embodiment shown in FIG9 ;

FIG15 is a structural block diagram of a hair processing device provided by an embodiment of the present disclosure;

FIG16 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure;

FIG. 17 is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present disclosure.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

The application scenarios of the embodiments of the present disclosure are explained below:

FIG1 is a diagram of an application scenario of the hair processing method provided by the embodiment of the present disclosure. The hair processing method provided by the embodiment of the present disclosure can be applied to application scenarios such as video special effects generation and real-time rendering of games. More specifically, it can be applied to the application scenario of real-time rendering of video special effects. As shown in FIG1, the method provided by the embodiment of the present disclosure can be applied In a terminal device, such as a smart phone, a personal computer, etc., FIG1 takes a smart phone as an example for introduction. Among them, the terminal device runs a target application that needs to perform hair special effects rendering, such as a game application, a short video application, etc. When the target application running in the terminal device needs to dynamically display the hair of a person or an animal (that is, the position of the hair will change with the change of the position of the person or the animal), the terminal device dynamically renders each hair. For example, the hair of the portrait shown in FIG1, based on the hair processing method provided in the embodiment of the present disclosure, dynamically simulates and renders each hair that makes up the hair, thereby achieving the purpose of dynamically displaying the hair of a person or an animal in the image display interface of the target application.

In the related art, for the dynamic rendering of human or animal hair, it is usually necessary to first simulate the motion state of the hair based on the hair data to obtain the simulated posture of the hair in the next frame image, and then render based on the simulated posture, so that the hair shows the motion state. However, due to the huge number of hairs contained in the hair data, it is difficult to achieve independent simulation of each hair under the premise of meeting the real-time requirements of rendering. Therefore, the solution in the related art is usually to simulate a small number of guide hairs in the hair data, and then apply the simulated posture of each guide hair to the corresponding large number of ordinary hairs, so as to achieve rapid simulation of all hairs. However, in the above-mentioned solution in the related art, after applying the simulated posture of the guide hair to the corresponding ordinary hair, the posture attributes of the ordinary hair itself will be overwritten, so that the large number of ordinary hairs corresponding to the same guide hair have a high posture similarity, which leads to the loss of hair details, and then the hair with high posture similarity is used for image rendering, resulting in the problem of low authenticity and poor visual effect of the generated hair rendering image. The embodiment of the present disclosure provides a hair processing method to solve the above-mentioned problem.

Referring to FIG. 2 , FIG. 2 is a flow chart of a hair treatment method according to an embodiment of the present disclosure. The method of this embodiment can be applied in a terminal device, and the hair treatment method includes:

Step S101: Acquire hair data, and divide the hair data into guide hair and ordinary hair.

Exemplarily, referring to the introduction in the above application scenario, hair data is data used to characterize the hair constituting the hair of a person or an animal. Exemplarily, the hair data is used to characterize the initial posture of the guide hair and the initial posture of the common hair corresponding to the guide hair. The posture of the corresponding hair can be determined by the hair data, and the posture refers to the position and posture of the hair. FIG3 is a schematic diagram of the posture of a hair provided by an embodiment of the present disclosure. Taking the rendering of a character's hair as an example, as shown in FIG3, among the many hairs constituting the hair, there are hair A and hair B, wherein the posture corresponding to hair A is posture pos_1, and the posture corresponding to hair B is posture pos_2. As shown in the reference figure, firstly, hair A and hair B are located at different positions, and secondly, hair A and hair B have different postures, more specifically, hair A corresponds to "straight hair", and hair B corresponds to "curly hair". Through the postures corresponding to the hair, the positions and postures of different hairs can be distinguished, so that the hairs at different positions show different hair postures.

To further explain, the hair data includes two types of hair data, namely, guide hair data and common hair data. The guide hair is used to represent the overall style, hair distribution, and/or hair direction of a person or animal's hair, and plays a role similar to "skeleton". In the subsequent steps, the position change of the guide hair is calculated, and the position change of the guide hair is compared with the virtual hair. The constraint relationship between other elements in the simulated environment is used to simulate the guide hairs, thereby realizing the movement of the hair and the interaction with the external environment. On the basis of the guide hairs, ordinary hairs are used to further fill the gaps between the guide hairs, so as to make the overall hair fuller. Ordinary hairs do not need to be simulated based on the motion state, so compared with the simulation calculation of guide hairs, it has a smaller amount of calculation. Usually, one guide hair corresponds to multiple ordinary hairs. For example, the ratio of guide hair to ordinary hair is 1:100. By setting a small number of guide hairs and corresponding ordinary hairs, the amount of calculation of hair simulation calculation can be reduced.

Furthermore, the hair data includes the corresponding posture data of the guide hair and the ordinary hair in the initial state, namely, the initial posture and the initial pose. Through the hair data, the initial posture of the guide hair and the initial posture of a group of ordinary hairs corresponding to the guide hair can be determined. FIG4 is a schematic diagram of the posture of a guide hair and ordinary hair provided by an embodiment of the present disclosure. As shown in FIG4, according to the hair data, hair A (shown as A in the figure) is the guide hair, and hair A_1, hair A_2, hair A_3, hair A_4 (shown as A_1, A_2, A_3, A_4, etc.) located near hair A are ordinary hairs, wherein hair A has an initial posture pos_1, hair A_2 has an initial posture pos_2, hair A_3 has an initial posture pos_3, and hair A_4 has an initial posture pos_4. As shown in the figure, different ordinary hairs corresponding to the same guide hair are located at different positions and have different postures, that is, different initial postures. In the subsequent processing steps, each ordinary hair will be simulated based on the different initial postures of each ordinary hair, so that it retains part of the initial posture.

The position (initial position) of the guide hair in the initial state and the position (initial position) of the common hair in the initial state may be preset according to the specific needs of the target application or may be randomly generated, and no specific limitation is imposed here. In a group of common hairs corresponding to the same guide hair, the initial positions corresponding to the common hairs are not completely the same.

Step S102: processing the guide hair based on its initial posture to obtain a simulated posture of the guide hair.

Exemplarily, according to the guide hair in the hair data, the guide hair is simulated, that is, the position and posture of the guide hair in the next frame are predicted and simulated, that is, the simulated posture. Among the implementation methods in which the posture of the guide hair changes in the next frame, one possible implementation method is: the guide hair performs random movement, that is, based on the initial posture of the guide hair, the initial posture is randomly changed within a certain range to obtain a posture different from the initial posture, that is, the simulated posture; more specifically, for example, the guide hair and ordinary hair in the hair data are both composed of multiple hair particles, and the distance between the hair particles is fixed. Therefore, there is a distance constraint between adjacent hair particles, and a random position offset is applied to each hair particle of the guide hair to obtain the simulated posture of the guide hair.

In another possible implementation, in order to simulate the real performance of hair in the environment, based on the influence of the environment on the guide hair, such as the movement of hair driven by the movement of people or animals in the image, the simulated posture of the guide hair is simulated. Specifically, the hair data includes the initial coordinates of the hair particles constituting the guide hair, as shown in FIG5 , step S102 Specific implementation methods include:

Step S1021: acquiring a particle motion state of a hair particle guiding the hair, wherein the particle motion state represents a motion speed and/or motion acceleration of the hair particle.

Step S1022: obtaining simulation coordinates according to the initial coordinates of the hair particle and the corresponding particle motion state.

Step S1023: obtaining a simulated posture of the guide hair according to the simulated coordinates of at least two hair particles of the guide hair.

Exemplarily, in this embodiment, the hair particles of the guide hair are hair particles, and correspondingly, the hair particles of the ordinary hair are hair particles of the ordinary hair, which will be introduced in the subsequent steps. The particle motion state of the hair particle, that is, the motion speed and/or motion acceleration of the hair particle in the motion state. The motion speed and motion acceleration of the hair particle are generated by the traction force of other hair particles adjacent to the hair particle on the guide hair on the hair particle. Optionally, the motion speed and motion acceleration of the hair particle can also be generated by the constraint force of external objects in the image environment (such as other hair, obstacles in the environment, etc.) on the hair particle.

FIG6 is a schematic diagram of a particle motion state of a hair particle provided by an embodiment of the present disclosure. As shown in the figure, the guide hair L1 includes a hair particle P1, a hair particle P2 and a hair particle P3 (shown as P1, P2 and P3 in the figure). Among them, the hair particle P1 is a hair root particle, and the coordinates are, that is, the hair particle P1 is located on the surface of the head model (corresponding to the hair root located on the scalp). When the head model moves, the hair particle P1 is driven to move, so that the hair particle P1 produces a corresponding movement; then, the hair particle P2 adjacent to the hair particle P1 is subjected to the traction force N1 of the hair particle P1 and moves, so that the hair particle P2 produces a corresponding speed v2 and acceleration a3 (in the same direction as N1); and the hair particle P3 adjacent to the hair particle P2 is also subjected to the traction force N2 of the hair particle P2, and produces a corresponding speed v3 and acceleration a3 (in the same direction as N2). Among them, the speed and acceleration of the hair particles shown in the figure are only for illustration. The corresponding particle motion state of each hair particle is affected by the specific model parameters of the guiding hair and can be obtained by simulating based on the model parameters of the guiding hair through existing dynamic simulation tools. The specific implementation method will not be repeated here.

Further, illustratively, after obtaining the particle motion state of each hair particle on the guide hair, the initial coordinates of the corresponding hair particle are updated according to the particle motion state of each hair particle of the guide hair in the hair data, and the simulation coordinates corresponding to each hair particle are obtained. Specifically, the method of calculating the simulation coordinates according to the initial coordinates of the hair particle and the corresponding particle motion state can be implemented by formula (1):
x _t+1 ＝x _t +v _t ×dt+a _t ×dt ² (1)

Wherein, _xt+1 is the position coordinate of the hair particle at time t+1, _xt is the position coordinate of the hair particle at time t, _vt is the velocity of the hair particle at time t, _at is the acceleration of the hair particle at time t, and dt is the time interval between two moments (e.g., time t and time t+1). Wherein, at t=0, ^xt+1 is the simulation coordinate; ^xt is the initial coordinate, and ^vt and ^at are the motion state of the particle. Exemplarily, after obtaining the simulation coordinate, in order to realize the dynamic rendering of the hair, it can be further based on the time t=1. The simulation coordinates at time t=2 are calculated, that is, the initial coordinates in the above step are updated to the simulation coordinates at time t=1, and then the simulation coordinates at time t=2 are calculated based on the updated initial coordinates, thereby guiding the hair to be dynamically simulated in real time. The specific process is similar and will not be repeated here.

Afterwards, based on the simulation coordinates of at least two hair particles of the guide hair, the simulation posture of the guide hair can be obtained. Exemplarily, the simulation coordinates of the hair particles corresponding to the guide hair are three-dimensional coordinates, which can be represented by an array; the simulation coordinates of each hair particle are combined to obtain the corresponding simulation posture, which can be an array, a matrix or a structure, which will not be described in detail.

Step S103: obtaining motion information of the guide hair according to the simulation posture and the initial posture, wherein the motion information represents a posture change feature of the simulation posture of the guide hair relative to the initial posture.

Exemplarily, after obtaining the simulated posture of the guide hair, a posture change feature between the simulated posture and the initial posture, i.e., motion information, is obtained by comparing and calculating the simulated posture and the initial posture. Exemplarily, the motion information can be represented by a mapping vector between the coordinates of the hair particles of the guide hair at the initial posture and the coordinates of the hair particles at the simulated posture. Specifically, the initial posture includes the initial coordinates of at least two hair particles corresponding to the guide hair; the simulated posture includes the simulated coordinates of at least two hair particles corresponding to the guide hair. As shown in FIG7 , the specific implementation steps of step S103 include:

Step S1031: Obtaining a coordinate transformation vector of the hair particle according to the initial coordinates of the hair particle and the corresponding simulation coordinates.

Step S1032: obtaining motion information of the guiding hair according to the coordinate change vectors of at least two hair particles.

For example, for the same hair particle in the guide hair, when the guide hair is in the initial posture and in the simulation posture, if the guide hair moves, the hair particle has corresponding different coordinates, namely, the initial coordinate and the simulation coordinate. For example, the initial coordinate is x ₀ and the simulation coordinate is x ₁ . There is a mapping relationship between the initial coordinate and the simulation coordinate:
x ₁ =T(x ₂ )

T is the coordinate transformation between the initial coordinates and the simulated coordinates, that is, the coordinate transformation vector of the hair particle. Then, based on the combination of the coordinate change vectors of at least two hair particles, the motion information of the guide hair is obtained. For example, the guide hair A includes three hair particles, namely P1, P2 and P3, then the operation information corresponding to the guide hair A is Info=[ _T1 , _T2 , _T3 ], where _T1 is the coordinate transformation vector of the hair particle P1, _T2 is the coordinate transformation vector of the hair particle P2, and _T3 is the coordinate transformation vector of the hair particle P3.

Step S104: obtaining a hair rendering image according to the motion information and the initial position and posture of the ordinary hair.

Exemplarily, after obtaining the motion information of the guide hair, the motion information of the guide hair is transmitted to the corresponding ordinary hair, so that the ordinary hair generates the same posture change as the guide hair on the basis of the initial posture (initial posture), thereby obtaining the second simulated hair corresponding to the ordinary hair, and then performing image rendering based on the second simulated hair. You can get the hair rendering image.

Exemplarily, the specific implementation of step S104 includes:

Step S1041: Based on the motion information, the initial posture of the ordinary hair is simulated to obtain the simulated posture of the ordinary hair.

Step S1042: performing image rendering based on the simulated posture of ordinary hair to obtain a hair rendering image.

FIG8 is a schematic diagram of a process for generating a simulated posture of ordinary hair provided by an embodiment of the present disclosure. As shown in FIG8 , motion information is used to characterize the posture change characteristics of the guided hair. For example, in the figure, the posture change characteristics represented by the motion information are to guide the hair to rotate 30 degrees clockwise. After the motion information is transmitted to the ordinary hair, the ordinary hair rotates with the same posture change characteristics based on the motion information on the basis of the initial posture to generate a simulated posture. Afterwards, based on the simulation result of the ordinary hair, that is, the simulated posture, for example, a renderer performs image rendering to obtain a hair rendering image composed of ordinary hair. Afterwards, the hair rendering image can be displayed in the corresponding display interface according to the needs of the target application. Through the above steps, the ordinary hair is integrated with the motion information of the guide hair on the basis of retaining the original hair characteristics (initial position), thereby indirectly realizing the driving of the ordinary hair by the external environment. Since the initial positions of the ordinary hairs in a group of ordinary hairs corresponding to the same guide hair are not completely the same, the second simulated hairs of the ordinary hairs in a group of ordinary hairs corresponding to the same guide hair are also not completely the same, so that more differences are generated between different ordinary hairs, so that the generated hair rendering image is more realistic and natural.

In this embodiment, hair data is obtained, and the hair data is used to characterize the initial posture of the guide hair and the initial posture of the common hair corresponding to the guide hair; based on the hair data, the guide hair is simulated to obtain the simulated posture of the guide hair; according to the simulated posture and the initial posture, the motion information of the guide hair is obtained, and the motion information characterizes the posture change characteristics of the simulated posture of the guide hair relative to the initial posture; according to the motion information and the initial posture of the common hair, a hair rendering image is obtained. The motion information characterizing the posture change characteristics of the guide hair is obtained through the simulated posture of the guide hair, and the motion information is used as the posture change amount to redirect the common hair, so that the common hair obtains the corresponding simulation result based on the original initial posture in combination with the motion information, and then obtains the hair rendering image. Since the initial postures of the common hairs are different, after redirection in combination with the corresponding motion information, the simulation result is affected by the initial postures of the common hairs, so that the simulation results of the common hairs are also different, thereby achieving the retention of hair details and improving the authenticity and visual effect of the hair rendering image.

Referring to FIG9 , FIG9 is a second flow chart of a hair treatment method provided by an embodiment of the present disclosure. This embodiment is described in detail based on the embodiment shown in FIG2 , and adds a step of correcting motion information. The hair treatment method includes:

Step S201: Acquire hair data, where the hair data includes initial coordinates of hair particles constituting guide hair and initial coordinates of hair particles constituting ordinary hair.

Step S202: Acquire the particle motion state of the hair particle guiding the hair.

Exemplarily, the hair data includes different initial positions of the guide hair, and the initial positions of the guide hair are represented by the initial coordinates of the hair particles of the guide hair. Correspondingly, the hair data also includes the initial positions of the ordinary hair corresponding to each guide hair, and the initial positions of the ordinary hair are represented by the initial coordinates of the hair particles of the ordinary hair. Afterwards, when the guide hair moves or has a movement trend, the hair particles of the guide hair have corresponding particle motion states, such as the motion speed and motion acceleration of the first particle hair. The particle motion state can be obtained through a dynamic simulation tool, which has been introduced in the embodiment shown in FIG2 and will not be repeated here.

Step S203: obtaining simulation coordinates according to the initial coordinates of the hair particle guiding the hair and the corresponding particle motion state.

Exemplarily, after obtaining the particle motion state of the hair particle, the initial coordinates of the hair particle are transformed according to the particle motion state to obtain the corresponding simulation coordinates. Exemplarily, the particle motion state includes the first motion velocity of the hair particle and the first motion acceleration of the hair particle. The simulation coordinates can be obtained by integrating the first motion velocity and the first motion acceleration once and twice, respectively, and then adding them to the initial coordinates. For the specific implementation method, please refer to the relevant description of formula (1) in the embodiment shown in Figure 2. Of course, it can be understood that in other possible implementation methods, the simulation coordinates can also be obtained only by integrating the first motion velocity once, or only by integrating the first motion acceleration twice, which will not be repeated here.

In a possible implementation, as shown in FIG10 , a specific implementation of step S203 includes:

Step S2031: obtaining a first attenuation speed corresponding to the hair particle according to the first movement speed of the hair particle.

Step S2032: Correcting the particle motion state of the hair particle according to the first attenuation speed to obtain a first corrected motion state.

Step S2033: obtaining simulation coordinates according to the initial coordinates of the hair particle and the corresponding first corrected motion state.

In the real environment, the hair in the hair will be affected by external forces such as friction during the movement to form friction damping. In order to improve the visual authenticity of the hair in the process of rendering the hair image, in this embodiment, the movement speed of the hair particles in the hair is guided to apply a matching attenuation speed, wherein the first movement speed of the hair particles is positively correlated with the corresponding first attenuation speed, that is, the greater the first movement speed, the greater the first attenuation speed. Then, the first movement speed is subtracted from the corresponding first attenuation speed to obtain the particle motion state of the hair particles on the guided hair after applying friction damping, that is, the first corrected motion state, such as the corrected motion speed and corrected motion acceleration of the hair particles. Then, based on the initial coordinates of the hair particles and the corresponding first corrected motion state, the simulation coordinates are obtained, thereby further improving the accuracy of the simulation coordinates and improving the authenticity of the hair rendering effect. The method of obtaining the corresponding simulation coordinates based on the initial coordinates of the hair particles and the corresponding particle motion state (first corrected motion state) has been introduced in the previous embodiment and will not be repeated here.

In another possible implementation, as shown in FIG11 , the specific implementation of step S203 includes:

Step S2034: setting a virtual hair particle of the guide hair, the virtual hair particle is located in the extension direction of one side of the hair tip particle of the guide hair.

Step S2035: According to the position constraint relationship between the virtual hair particle and the hair tip particle, the second decay speed corresponding to the hair tip particle is obtained, wherein the direction of the second decay speed is opposite to the direction of the line connecting the adjacent hair particles from the hair tip particle to the hair tip particle.

Step S2036: Correcting the particle motion state of the hair particle according to the second attenuation speed to obtain a second corrected motion state.

Step S2037: obtaining simulation coordinates according to the initial coordinates of the hair particle and the corresponding second corrected motion state.

Exemplarily, the movement of each hair particle on the guiding hair is mainly generated based on the traction force of other hair particles adjacent to it. On the one hand, the hair particles at the root of the guiding hair (i.e., the hair root particles) are directly fixed to the surface of the head model and are mainly affected by the constraint force of the head model. Therefore, their positions are fixed and move with the movement of the head model, which is also equivalent to the driving force source of the guiding hair movement. Therefore, the position of the hair root particles will not deviate. On the other hand, the hair particles in the middle part of the guiding hair will be subject to the constraint force of the hair particles on both sides (bidirectional constraint). Therefore, the movement position of the hair particles in the middle part is usually stable. However, the last hair particle located at the outer end of the guiding hair (i.e., the hair tip particle) is only constrained by the hair particles adjacent to one side. Therefore, when simulating it, the problem of unstable motion state will occur, and in terms of visual performance, the problem of "abnormal shaking of the hair tip" will occur.

To solve the above problem, in the embodiment of the present disclosure, after the hair particle of the guiding hair, a virtual hair particle is generated, wherein the coordinates of the virtual hair particle can be determined based on the coordinates of the hair tip particle and at least one hair particle before the hair tip particle. More specifically, for example, according to the coordinates of the hair tip particle and at least one hair particle before the hair tip particle, the corresponding hair curvature and the distance between the hair particles are calculated, and then the simulation coordinates of the virtual hair particle are obtained based on the calculated hair curvature and the distance between the hair particles. FIG12 is a schematic diagram of a virtual hair particle provided by the embodiment of the present disclosure. As shown in FIG12, according to the hair data, the coordinates of the hair tip particle P1 of the guiding hair and the two hair particles P2 and P3 (shown as P1, P2 and P3) before the hair tip particle are obtained, and then according to the distance between the coordinates of P1, P2 and P3, and the corresponding hair curvature, the position of the virtual hair particle P0 (shown as P0) is obtained, and the construction of the virtual hair particle is completed.

Afterwards, based on the dynamics simulation tool, the position constraint relationship between the virtual hair particle and the hair tip particle is used to calculate the second decay velocity corresponding to the hair tip particle. The second decay velocity is a velocity component of the hair tip particle caused by the traction force of the virtual hair particle on the hair tip particle. The direction of the second decay velocity is the opposite direction of the line connecting the hair tip particle to the adjacent hair particle. Afterwards, the particle motion state of the hair particle is corrected in combination with the second decay velocity pair of the hair tip particle to obtain a second corrected motion state, for example, a corrected motion state is obtained. Then, based on the corrected second corrected motion state and the initial coordinates of the hair particles, the simulation coordinates are obtained. The specific implementation method is similar to the implementation method of obtaining the simulation coordinates based on the first corrected motion state and the initial coordinates of the hair particles. It has been described in detail in the previous embodiment and will not be repeated here.

In the steps of this embodiment, virtual hair particles are constructed to constrain hair tip particles, thereby improving the motion stability of the hair tip particles and improving the visual effect of the hair rendering image.

Of course, it can be understood that the two methods of obtaining simulation coordinates in the embodiments corresponding to Figures 10 and 11 above can also be used in combination, that is, in one possible implementation, the first corrected motion state and the second corrected motion state corresponding to the hair particle are respectively obtained, and then the initial coordinates are transformed based on the first corrected motion state and the second corrected motion state in turn to obtain simulation coordinates, thereby obtaining more accurate simulation coordinates and improving the visual effect of the hair rendering image.

Step S204: obtaining a simulated posture of the guide hair according to the simulated coordinates of at least two hair particles of the guide hair.

Optionally, after step S204, the method further includes:

Step S205: Obtain constraint information of the guide hair, and correct the simulation pose according to the constraint information to obtain a corrected simulation pose, wherein the constraint information is used to limit the hair length and/or hair shape of the guide hair, and/or the distance between at least two guide hairs.

Exemplarily, the guide hair may also be configured with constraint information, and the constraint information is used to limit the hair length and/or hair shape of the guide hair, and/or the distance between at least two guide hairs. More specifically, for example, the constraint information is used to limit the hair length of the guide hair to be within a preset length interval; the constraint information is used to limit the hair shape of the guide hair, such as the curvature, to be within a preset curvature interval, thereby ensuring the actual authenticity of the guide hair; the constraint information is used to limit the distance between the guide hairs to be greater than a length threshold, thereby ensuring the rationality of the distribution of the guide hairs and improving the overall visual effect of the hair rendering image.

Furthermore, the constraint information of the guide hair can be preset as needed, or can be automatically generated based on the appearance model of a person or an animal, which will not be described in detail here. After obtaining the simulation pose, the simulation pose of the guide hair is corrected by the above constraint information to obtain a corrected simulation pose, so that the simulation result of the guide hair is more realistic and the rendering effect of the subsequent hair rendering image is improved.

Step S206: obtaining motion information of the guide hair according to the simulated posture or the modified simulated posture and the initial posture, wherein the motion information includes coordinate transformation vectors corresponding to the hair particles constituting the guide hair.

In the embodiment shown in FIG. 2 , a specific implementation method for determining motion information based on the simulated posture and the initial posture of the guided hair has been described, which is similar to the specific implementation method for determining motion information based on the corrected simulated posture and the initial posture in the steps of this embodiment, and will not be repeated here. Please refer to the specific introduction under the relevant steps in the embodiment shown in FIG. 2 .

Optionally, after step S206, the method further includes:

Step S207: obtaining guide data corresponding to the hair data, and obtaining weighted motion information corresponding to each common hair according to the guide data, wherein the guide data is used to characterize the mapping relationship and mapping weight between the guide hair and the corresponding common hair.

Exemplarily, the guide data is data that characterizes the mapping relationship and mapping weight between the guide hair strands and the corresponding ordinary hair strands, wherein the guide data may be data included in the hair strand data, or may be independent data corresponding to the hair strand data. In a possible implementation, the guide data includes an index identifier corresponding to each guide hair strand, and a hair strand identifier of the ordinary hair strand corresponding to each guide hair strand. Furthermore, the guide data also includes a mapping authority corresponding to each ordinary hair strand, wherein the mapping authority is, for example, a normalized value that characterizes the degree to which the ordinary hair strand is affected by the operation of the guide hair strand, and the value range is, for example, (0,1]. After weighting the motion information corresponding to each ordinary hair strand by the mapping weight, the weighted motion information corresponding to each ordinary hair strand is obtained.

FIG13 is a schematic diagram of generating weighted motion information provided by an embodiment of the present disclosure. As shown in FIG13 , the corresponding motion information generated based on the simulated posture of the guide hair A is motion information Info_A, and the motion information is used to rotate the guide hair counterclockwise by 30 degrees. Based on the guidance data, the common hair corresponding to the guide hair A includes common hair A_1, common hair A_2 and common hair A_3 (shown as A_1, A_2 and A_3 in the figure), and the mapping weight coef_w corresponding to the common hair A_1 is 1, the mapping weight coef_w corresponding to the common hair A_2 is 0.7, and the mapping weight coef_w corresponding to the common hair A_1 is 0.3. Then, according to the guidance data, the weighted motion information of the common hair A_1 is generated as Info_A1, which is used to rotate the common hair A_1 counterclockwise by 30 degrees (shown as 30 in the figure, the same below); the weighted motion information of the common hair A_2 is generated as Info_A2, which is used to rotate the common hair A_2 counterclockwise by 21 degrees (the product of 30 degrees and the weight coefficient 0.7, the same below); and the weighted motion information of the common hair A_3 is generated as Info_A3, which is used to rotate the common hair A_3 counterclockwise by 9 degrees.

In this embodiment, the mapping weights of the common hair corresponding to the guide hair are further determined through the guide data, so that the expression styles of the common hair are more diversified, the hair details are increased, and the rendering effect of the hair rendering image is improved.

Step S208: Based on the motion information or the weighted motion information, the initial posture of the ordinary hair is simulated to obtain a simulated posture of the ordinary hair.

In a possible implementation, as shown in FIG14 , a specific implementation of step S208 includes:

Step S2081: based on the correspondence between the guide hair and the ordinary hair, obtaining the hair particles of the ordinary hair corresponding to the hair particles of the guide hair.

Step S2082: Obtain the target coordinate change vector corresponding to the hair particle of each ordinary hair according to the weighted motion information or the weighted motion information.

Step S2083: based on the coordinate change amount of the hair particle of the ordinary hair and the corresponding initial coordinate, the simulation coordinate corresponding to the hair particle of the ordinary hair is obtained.

Step S2084: obtaining a simulated pose of the ordinary hair according to the simulated coordinates of at least two hair particles of the ordinary hair.

Exemplarily, based on the guide data, hair particles of ordinary hair corresponding to the hair particles in each ordinary hair corresponding to the guide hair are obtained, wherein the number of hair particles of the ordinary hair of each ordinary hair is the same as the number of hair particles of the corresponding guide hair. Therefore, based on the particle index of the hair particle and the particle index of the hair particle of the ordinary hair, the hair particles of the ordinary hair corresponding to the hair particle can be obtained. Afterwards, the weighted motion information or the weighted motion information contains the coordinate change vector corresponding to the hair particle of each guide hair, and based on the mapping relationship determined in the previous step, the target coordinate change vector corresponding to the hair particle of each ordinary hair is obtained. The specific implementation method of the coordinate change vector has been introduced under the relevant steps in the embodiment shown in FIG. 2, and will not be repeated here. Furthermore, the initial coordinates corresponding to the hair particles of ordinary hair are transformed by the target coordinate change vector, so that the motion information of the guide hair is transferred to the corresponding ordinary hair, so that the ordinary hair performs a similar motion to the guide hair, and the simulation coordinates corresponding to the hair particles of the ordinary hair are obtained, and then the simulation posture of the ordinary hair is obtained according to the set of simulation coordinates of at least two hair particles of each ordinary hair.

Step S209: performing image rendering based on the simulated posture of ordinary hair to obtain a hair rendering image.

In this embodiment, the implementation methods of step S204 and step 209 have been introduced in step S102 and step 104 in the embodiment shown in FIG. 2 , and will not be described in detail here.

Corresponding to the hair treatment method of the above embodiment, FIG15 is a structural block diagram of a hair treatment device provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Referring to FIG15 , the hair treatment device 3 includes:

An acquisition module 31, used for acquiring hair data, where the hair data is used for representing the initial position and posture of the guide hair and the initial position and posture of the common hair corresponding to the guide hair;

A simulation module 32, configured to simulate the guide hair based on the hair data to obtain a simulated posture of the guide hair;

A processing module 33, for obtaining motion information of the guide hair according to the simulated posture and the initial posture, wherein the motion information represents a posture change feature of the simulated posture of the guide hair relative to the initial posture;

The rendering module 34 is used to obtain a hair rendering image according to the motion information and the initial position of the ordinary hair.

In one embodiment of the present disclosure, the hair data includes initial coordinates of hair particles constituting the guiding hair; the simulation module 32 is specifically used to: obtain the particle motion state of the hair particles of the guiding hair, wherein the particle motion state represents the motion speed and/or motion acceleration of the hair particles; obtain simulation coordinates according to the initial coordinates of the hair particles and the corresponding particle motion state; obtain the simulation posture of the guiding hair according to the simulation coordinates of at least two hair particles of the guiding hair.

In one embodiment of the present disclosure, the particle motion state includes a first motion speed of the hair particle. When the simulation module 32 obtains the simulation coordinates according to the initial coordinates of the hair particle and the corresponding particle motion state, it is specifically used to: obtain a first decay speed corresponding to the hair particle according to the first motion speed of the hair particle; correct the particle motion state of the hair particle according to the first decay speed to obtain a first corrected motion state; and obtain a first decay speed corresponding to the hair particle according to the initial coordinates of the hair particle and the corresponding First, correct the motion state to obtain the simulation coordinates.

In one embodiment of the present disclosure, the hair particles of the guiding hair include hair tip particles. When the simulation module 32 obtains the simulation coordinates according to the initial coordinates of the hair particles and the corresponding particle motion states, it is specifically used to: generate virtual hair particles after the hair tip particles of the guiding hair; obtain the second decay speed corresponding to the hair tip particles according to the position constraint relationship between the virtual hair particles and the hair tip particles, wherein the direction of the second decay speed is opposite to the direction of the line connecting the adjacent hair particles from the hair tip particles to the hair tip particles; correct the particle motion state of the hair particles according to the second decay speed to obtain the second corrected motion state; obtain the simulation coordinates according to the initial coordinates of the hair particles and the corresponding second corrected motion state.

In one embodiment of the present disclosure, the rendering module 34 is specifically used to: simulate the initial posture of ordinary hair based on motion information to obtain the simulated posture of ordinary hair; perform image rendering based on the simulated posture of ordinary hair to obtain a hair rendering image.

In one embodiment of the present disclosure, the motion information includes coordinate transformation vectors corresponding to the hair particles constituting the guide hair, and the initial posture includes the initial coordinates of at least two hair particles of the ordinary hair; when the rendering module 34 simulates the initial posture of the ordinary hair based on the motion information to obtain the simulated posture of the ordinary hair, it is specifically used to: obtain the hair particles of the ordinary hair corresponding to the hair particles of the guide hair in the ordinary hair corresponding to the guide hair; obtain the coordinate change vectors corresponding to the hair particles of each ordinary hair according to the motion information; obtain the simulated coordinates corresponding to the hair particles of the ordinary hair based on the coordinate change amount of the hair particles of the ordinary hair and the corresponding initial coordinates; obtain the simulated posture of the ordinary hair according to the simulated coordinates of the hair particles of at least two ordinary hair.

In one embodiment of the present disclosure, the initial posture includes the initial coordinates of at least two hair particles corresponding to the guiding hair; the simulation posture includes the simulation coordinates of at least two hair particles corresponding to the guiding hair; the processing module 33 is specifically used to: obtain the coordinate transformation vector of the hair particle according to the initial coordinates and the corresponding simulation coordinates of the hair particle; obtain the motion information of the guiding hair according to the coordinate change vectors of at least two hair particles.

In one embodiment of the present disclosure, the acquisition module 31 is further used to: acquire guide data corresponding to the hair data, the guide data being used to characterize the mapping relationship and mapping weight between the guide hair and the corresponding ordinary hair; the rendering module 34 is specifically used to: obtain weighted motion information corresponding to each ordinary hair according to the guide data; and obtain a hair rendering image according to the weighted motion information of the ordinary hair and the initial posture of the ordinary hair.

In one embodiment of the present disclosure, after simulating the guide hair based on the hair data to obtain the simulated posture of the guide hair, the simulation module 32 is further used to: obtain constraint information of the guide hair, the constraint information is used to limit the hair length and/or hair shape of the guide hair, and/or the distance between at least two guide hairs; correct the simulated posture according to the constraint information to obtain a corrected simulated posture; the processing module 33 is specifically used to: obtain the motion information of the guide hair according to the corrected simulated posture and the initial posture of the guide hair.

The acquisition module 31, simulation module 32, processing module 33 and rendering module 34 are connected in sequence. The hair processing device 3 provided in this embodiment can implement the technical solution of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated in this embodiment.

FIG16 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. As shown in FIG16 , the electronic device 4 includes:

A processor 41, and a memory 42 communicatively connected to the processor 41;

The memory 42 stores computer executable instructions;

The processor 41 executes the computer-executable instructions stored in the memory 42 to implement the hair processing method in the embodiments shown in FIGS. 2 to 14 .

Optionally, the processor 41 and the memory 42 are connected via a bus 43 .

The relevant instructions can be understood by referring to the relevant descriptions and effects corresponding to the steps in the embodiments corresponding to Figures 2 to 14, and no further details will be given here.

An embodiment of the present disclosure provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the hair processing method provided in any one of the embodiments corresponding to Figures 2 to 14 of the present disclosure.

The present disclosure provides a computer program product, including a computer program. When the computer program is executed by a processor, the hair processing method in the embodiments shown in FIGS. 2 to 14 is implemented.

Referring to FIG. 17 , it shows a schematic diagram of the structure of an electronic device 900 suitable for implementing the embodiment of the present disclosure, and the electronic device 900 may be a terminal device or a server. The terminal device may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, personal digital assistants (PDAs), tablet computers (Portable Android Devices, PADs), portable multimedia players (PMPs), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic device shown in FIG. 17 is only an example and should not bring any limitation to the functions and scope of use of the embodiment of the present disclosure.

As shown in FIG. 17 , the electronic device 900 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 901, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage device 908 to a random access memory (RAM) 903. Various programs and data required for the operation of the electronic device 900 are also stored in the RAM 903. The processing device 901, the ROM 902, and the RAM 903 are connected to each other via a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.

Typically, the following devices can be connected to the I/O interface 905: including, for example, a touch screen, a touch pad, a keyboard, a mouse, Input devices 906 such as cameras, microphones, accelerometers, gyroscopes, etc.; output devices 907 such as liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 908 such as magnetic tapes, hard disks, etc.; and communication devices 909. The communication device 909 can allow the electronic device 900 to communicate with other devices wirelessly or by wire to exchange data. Although FIG. 17 shows an electronic device 900 with various devices, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or provided instead.

In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 909, or installed from a storage device 908, or installed from a ROM 902. When the computer program is executed by the processing device 901, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, radio frequency (RF), etc., or any suitable combination of the above.

The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

Computer programs for performing operations of the present disclosure may be written in one or more programming languages, or a combination of such languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and/or flow chart, and the combination of the square boxes in the block diagram and/or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

Although the subject matter has been described in language specific to structural features and/or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims (14)

1. A hair treatment method, comprising:

   Acquire hair data, and divide the hair data into guide hair and common hair;

   Processing the guide hair based on its initial posture to obtain a simulated posture of the guide hair;

   According to the simulation posture and the initial posture of the guide hair, motion information of the guide hair is obtained, wherein the motion information represents a posture change feature of the simulation posture of the guide hair relative to the initial posture of the guide hair;

   A hair rendering image is obtained according to the motion information and the initial position and posture of the ordinary hair.
2. The method according to claim 1, wherein the processing based on the initial pose of the guide hair to obtain the simulated pose of the guide hair comprises:

   Acquiring a particle motion state of the hair particle guiding the hair, wherein the particle motion state represents a motion speed and/or motion acceleration of the hair particle;

   According to the initial coordinates of the hair particles and the corresponding particle motion states, a simulation coordinate is obtained;

   The simulated position and posture of the guide hair is obtained according to the simulated coordinates of at least two hair particle points of the guide hair.
3. The method according to claim 2, wherein the particle motion state includes a first motion speed of the hair particle, and obtaining the simulation coordinates according to the initial coordinates of the hair particle and the corresponding particle motion state comprises:

   According to the first movement speed of the hair particle, a first attenuation speed corresponding to the hair particle is obtained;

   Correcting the particle motion state of the hair particle according to the first decay speed to obtain a first corrected motion state;

   The simulation coordinates are obtained according to the initial coordinates of the hair particle and the corresponding first corrected motion state.
4. The method according to claim 2, wherein the at least two hair particle points of the guiding hair include a hair tip particle point, and the obtaining of the simulation coordinates according to the initial coordinates of the hair particle points and the corresponding particle point motion states comprises:

   Setting a virtual hair particle of the guide hair, wherein the virtual hair particle is located in an extension direction of one side of the hair tip particle of the guide hair;

   According to the position constraint relationship between the virtual hair particle point and the hair tip particle point, a second decay speed corresponding to the hair tip particle point is obtained, wherein the direction of the second decay speed is opposite to the direction of the line connecting the hair tip particle point to the adjacent hair particle point of the hair tip particle point;

   The particle motion state of the hair particle is corrected according to the second attenuation speed to obtain a second corrected motion state;

   The simulation coordinates are obtained according to the initial coordinates of the hair particle and the corresponding second corrected motion state.
5. The method according to any one of claims 1 to 4, wherein obtaining a hair rendering image according to the motion information and the initial position of the ordinary hair comprises:

   Based on the motion information, the initial posture of the ordinary hair is processed to obtain a simulated posture of the ordinary hair;

   Image rendering is performed based on the simulated posture of the ordinary hair to obtain the hair rendering image.
6. The method according to claim 5, wherein

   The simulating the initial posture of the common hair based on the motion information to obtain the simulated posture of the common hair includes:

   Based on the correspondence between the guide hair and the ordinary hair, obtaining the hair particle points of the ordinary hair corresponding to the hair particle points of the guide hair;

   According to the motion information, a coordinate change corresponding to the hair particle of the ordinary hair is obtained;

   Based on the coordinate change of the hair particle point of the ordinary hair and the initial coordinate of the hair particle point of the ordinary hair, the simulation coordinate corresponding to the hair particle point of the ordinary hair is obtained;

   The simulated position and posture of the common hair is obtained according to the simulated coordinates of at least two hair particles of the common hair.
7. The method according to any one of claims 1 to 6, wherein the initial position of the guide hair comprises the initial coordinates of at least two hair particles corresponding to the guide hair; and the simulation position comprises the simulation coordinates of the at least two hair particles corresponding to the guide hair;

   The obtaining the motion information of the guide hair according to the simulation posture and the initial posture of the guide hair comprises:

   Obtaining a coordinate transformation amount of the hair particle point according to the initial coordinates of the hair particle point and the corresponding simulation coordinates;

   The motion information of the guide hair is obtained according to the coordinate changes of at least two of the hair particles.
8. The method according to any one of claims 1 to 7, further comprising:

   Acquire guide data corresponding to the hair data, wherein the guide data is used to characterize a mapping relationship and a mapping weight between the guide hair and the corresponding ordinary hair;

   The step of obtaining a hair rendering image according to the motion information and the initial position of the ordinary hair includes:

   Obtaining weighted motion information corresponding to each of the common hairs according to the guidance data;

   A hair rendering image is obtained according to the weighted motion information of the common hair and the initial position and posture of the common hair.
9. The method according to any one of claims 1 to 8, wherein after the guide hair is processed based on the hair data to obtain a simulated pose of the guide hair, the method further comprises:

   Acquiring constraint information of the guide hair, wherein the constraint information is used to limit the hair length and/or hair shape of the guide hair, and/or the distance between at least two of the guide hairs;

   Correcting the simulation pose according to the constraint information to obtain a corrected simulation pose;

   The obtaining the motion information of the guide hair according to the simulation posture and the initial posture of the guide hair comprises:

   The motion information of the guide hair is obtained according to the corrected simulation posture of the guide hair and the initial posture of the guide hair.
10. A hair processing device, comprising:

    An acquisition module, used for acquiring hair data and dividing the hair data into guide hair and ordinary hair;

    A simulation module, used for processing the guide hair based on its initial posture to obtain a simulation posture of the guide hair;

    a processing module, configured to obtain motion information of the guide hair according to the simulated pose and the initial pose of the guide hair, wherein the motion information represents a posture change feature of the simulated pose of the guide hair relative to the initial pose of the guide hair;

    A rendering module is used to obtain a hair rendering image according to the motion information and the initial position of the ordinary hair.
11. An electronic device comprises: a processor, and a memory communicatively connected to the processor;

    The memory stores computer-executable instructions;

    The processor executes the computer-executable instructions stored in the memory to implement the hair processing method according to any one of claims 1 to 9.
12. A computer-readable storage medium having computer-executable instructions stored therein, wherein when a processor executes the computer-executable instructions, the hair processing method according to any one of claims 1 to 9 is implemented.
13. A computer program, the computer program having computer executable instructions, and when a processor executes the computer executable instructions, the hair processing method according to any one of claims 1 to 9 is implemented.
14. A computer program product stores computer-executable instructions, and when a processor executes the computer-executable instructions, the hair processing method according to any one of claims 1 to 9 is implemented.