[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN104125396B - Image capturing method and device - Google Patents

Image capturing method and device Download PDF

Info

Publication number
CN104125396B
CN104125396B CN201410287143.5A CN201410287143A CN104125396B CN 104125396 B CN104125396 B CN 104125396B CN 201410287143 A CN201410287143 A CN 201410287143A CN 104125396 B CN104125396 B CN 104125396B
Authority
CN
China
Prior art keywords
posture
feature
taken
target
template
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201410287143.5A
Other languages
Chinese (zh)
Other versions
CN104125396A (en
Inventor
王百超
王琳
陈志军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiaomi Inc
Original Assignee
Xiaomi Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Priority to CN201410287143.5A priority Critical patent/CN104125396B/en
Publication of CN104125396A publication Critical patent/CN104125396A/en
Application granted granted Critical
Publication of CN104125396B publication Critical patent/CN104125396B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Image Analysis (AREA)
  • Studio Devices (AREA)

Abstract

The disclosure provides a kind of image capturing method and device, the method include:Template is shot according to user instruction selected digital image;It finds a view the posture feature of target of being taken in picture;The posture feature that the posture feature for the target that is taken in the picture of finding a view is shot to the target that is taken in template with described image is compared, and obtains posture similarity;When the posture similarity reaches predetermined threshold value, shooting operation is performed.By the technical solution of the disclosure, user can be helped to shoot and similarity higher picture identical with image taking template posture.

Description

Image capturing method and device
Technical field
This disclosure relates to technical field of image processing more particularly to image capturing method and image capturing device.
Background technology
User often has the demand that a kind of fixed posture is taken pictures when application terminal equipment is taken pictures.For example, user The photo that daily self-timer one opens equal angular, identical posture is may wish to, for recording the variation of the life in a period of time;Or Person, user wish to imitate oneself or other people (such as stars) more classical beautiful posture when taking pictures, such as face upward first 45 degree or Person's aircraft carrier style etc..
In this regard, by the way that model's photo of the different postures to prestore is covered in picture of finding a view in the relevant technologies, to user Offer is taken pictures reference, to meet the above-mentioned demand of taking pictures of user.
Only it is merely that provide the user one due in shooting process, stating model's photo however, in said program With reference to can not fundamentally ensure that user can take the picture higher with model's photo posture similarity.
Invention content
To overcome the problems in correlation technique, the disclosure provides image capturing method and image capturing device.
According to the embodiment of the present disclosure in a first aspect, provide a kind of image capturing method, including:
Template is shot according to user instruction selected digital image;
It finds a view the posture feature of target of being taken in picture;
By the target that is taken in the posture feature for the target that is taken in the picture of finding a view and described image shooting template Posture feature is compared, and obtains posture similarity;
When the posture similarity reaches threshold value, shooting operation is carried out.
Optionally, it before the shooting template according to user instruction selected digital image, further includes:Preserve the image of user's loading Shoot template;Obtain the posture feature for the target that is taken in described image shooting template.
Optionally, the posture feature for the target that is taken in the picture of finding a view includes:It finds a view described in detection in picture The target that is taken whether be goal-selling type;When the target that is taken in picture of finding a view described in detecting is goal-selling class It finds a view during type, described in acquisition the posture feature of target of being taken in picture.
Optionally, the posture feature by the target that is taken and the target that is taken in described image shooting template Corresponding posture feature is compared, and show that posture similarity includes:The target and described of being taken found a view described in generation in picture The feature vector of each single item posture feature of the target that is taken in image taking template;Calculate each single item posture feature Vector distance between feature vector;Preset distance and similarity correspondence are inquired according to the vector distance, obtain institute State the similarity of each single item posture feature;According to the weight ratio of each single item posture feature to the similarity of each single item posture feature It is weighted, obtains the posture similarity.
Optionally, it is further included before the posture feature for the target that is taken in the picture of finding a view:Described image is clapped It takes the photograph template and carries out contoured processing;By treated, described image shoots the profile Overlapping display of template in the picture of finding a view In.
Optionally, it is described when the posture similarity reaches threshold value, it performs shooting operation and includes:When the posture is similar When degree reaches threshold value, prompt message is exported to user;When receiving the shooting instruction that user inputs according to the prompt message, Trigger shooting operation.
Optionally, it is described when the posture similarity reaches threshold value, it performs shooting operation and includes:When the posture is similar When degree reaches threshold value, automatic trigger shooting operation.
Optionally, it further includes:By multiple images shot by the shooting operation with the side of image sequence or short-sighted frequency Formula is showed;Or, show after multiple images shot by the shooting operation are obtained the average image.
According to the second aspect of the embodiment of the present disclosure, a kind of image capturing device is provided, including:Chosen module, for root Template is shot according to user instruction selected digital image;
First acquisition module, for the posture feature for the target that is taken in picture of finding a view;
Comparison module, for the posture feature for the target that is taken in the picture of finding a view to be shot with described image in template The posture feature for the target that is taken is compared, and obtains posture similarity;
Taking module, for when the posture similarity reaches threshold value, performing shooting operation.
Optionally, described device further includes:
Preserving module, for preserving the image taking template of user's loading;
Second acquisition module, for obtaining the posture feature for the target that is taken in described image shooting template.
Optionally, first acquisition module further includes:
Whether module of target detection is goal-selling type for detecting the target that is taken in the picture of finding a view;
Posture acquisition module, for when the target that is taken in detecting the picture of finding a view is goal-selling type, The posture feature for the target that is taken described in acquisition.
Optionally, the comparison module includes:
Vector generation module, for generating being taken in target and described image shooting template in the picture of finding a view The feature vector of each single item posture feature for the target that is taken;
Vector calculation module, for calculating the vector distance between the feature vector of each single item posture feature;
Vector query module for inquiring preset distance and similarity correspondence according to the vector distance, obtains The similarity of each single item posture feature;
Weighted calculation module, for the weight ratio according to each single item posture feature to the similarity of each single item posture feature It is weighted, obtains the posture similarity.
Optionally, described device further includes:
Processing module, for carrying out contoured processing to described image shooting template;
Laminating module, for described image to shoot the profile Overlapping display of template in the picture of finding a view by treated In.
Optionally, the taking module includes:
Reminding module, for when the posture similarity reaches predetermined threshold value, prompt message to be exported to user;
First trigger module, for when receiving the shooting instruction that user inputs according to the prompt message, triggering to be clapped Take the photograph operation.
Optionally, the taking module includes:
Second trigger module, for when the posture similarity reaches threshold value, automatic trigger shooting operation.
Optionally, described device includes at least one with lower module:
First display module, for will be by multiple images that the shooting operation is shot with image sequence or short-sighted frequency Mode is showed;
Second display module, for opening up after multiple images shot by the shooting operation are obtained the average image It is existing.
According to the third aspect of the embodiment of the present disclosure, a kind of image capturing device is provided, including:Processor;For storing The memory of processor-executable instruction;Wherein, the processor is configured as:Mould is shot according to user instruction selected digital image Plate;It finds a view the posture feature of target of being taken in picture;By the posture feature for the target that is taken in the picture of finding a view with The posture feature for the target that is taken in described image shooting template is compared, and obtains posture similarity;When the posture is similar When degree reaches threshold value, shooting operation is performed.
The technical scheme provided by this disclosed embodiment can include the following benefits:
In the above example of the disclosure, pass through the posture feature for the target that is taken and image taking template that will be got In the be taken correspondence posture feature of target be compared, obtain posture similarity, and reach threshold value in the posture similarity Shi Zhihang shooting operations can help user to shoot and similarity higher picture identical with image taking template posture.
In the above example of the disclosure, it can also be preserved by regarding the picture that user loads as image taking template Come, to facilitate directly used when taking pictures next time, realize the User Defined of picture shooting template, help to promote user's body It tests.
In the above various embodiments of the disclosure, the posture feature for the target that is taken in picture of finding a view can also be passed through The detection of goal-selling type is carried out before, to determine whether the shot type in the picture of finding a view is goal-selling type, It can be to avoid the posture feature information unrelated with goal-selling type be got, so as to reduce calculation amount.
In the above example of the disclosure, contoured processing can also be carried out, and will by the way that described image is shot template The profile of described image that treated shooting template is superimposed upon in picture of finding a view so that user can be to the posture for the target that is taken It is corrected, so as to improve shooting quality.
It, can also be by when the posture similarity reaches predetermined threshold value, to user in the above example of the disclosure Export prompt message;And when receiving the shooting instruction that user inputs according to the prompt message, shooting operation is triggered, so as to A kind of new screening-mode is provided, to adapt to different user demands, user experience can be promoted.
In the above example of the disclosure, by the way that image will have been shot can also dynamically show, can reach fine Contrast effect, so as to promote user experience.
It should be understood that above general description and following detailed description are only exemplary and explanatory, not The disclosure can be limited.
Description of the drawings
Attached drawing herein is incorporated into specification and forms the part of this specification, shows the implementation for meeting the disclosure Example, and for explaining the principle of the disclosure together with specification.
Fig. 1 is the flow diagram according to a kind of image capturing method shown in an exemplary embodiment;
Fig. 2 is the flow diagram according to another image capturing method shown in an exemplary embodiment;
Fig. 3 is the photographed scene signal according to superposition shooting template contours in the picture of finding a view shown in an exemplary embodiment Figure;
Fig. 4 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment;
Fig. 5 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment;
Fig. 6 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment;
Fig. 7 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment;
Fig. 8 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment;
Fig. 9 is the schematic block diagram according to another image capturing device shown in an exemplary embodiment;
Figure 10 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment;
Figure 11 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment;
Figure 12 is the structure diagram according to a kind of image capturing device shown in an exemplary embodiment.
Specific embodiment
Here exemplary embodiment will be illustrated in detail, example is illustrated in the accompanying drawings.Following description is related to During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar element.Following exemplary embodiment Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
It is only merely for the purpose of description specific embodiment in the term that the disclosure uses, and is not intended to be limiting the disclosure. " one kind " of singulative used in disclosure and the accompanying claims book, " described " and "the" are also intended to including majority Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the disclosure A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from In the case of disclosure range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ... When " or " in response to determining ".
Fig. 1 is the flow diagram according to a kind of image capturing method shown in an exemplary embodiment.
As shown in Figure 1, a kind of image capturing method according to an exemplary embodiment, including:
In a step 101, template is shot according to user instruction selected digital image;
After mobile terminal starts shooting function, the camera of the mobile terminal starts enabled and enters live view shape State, picture of finding a view in real time are presented by the display screen of mobile terminal to user.The client at this point, user can be taken pictures by preview The template list in software is held, come the image taking template that clock is selected to anticipate.Wherein, described image shooting template, can be described The default template preloaded in client of taking pictures or the template loaded by User Defined, and taken pictures by described Client is extracted the posture feature for the target that is taken by preset algorithm in advance.
In a step 102, it finds a view the posture feature of target of being taken in picture;
After user selected image shoots template, client software is found a view the present frame figure in picture in real time at this time Picture, and the current frame image is calculated by the preset algorithm, to obtain the mesh that is taken in the current frame image Target posture feature.
In step 103, by the target that is taken in the posture feature of the target that is taken and described image shooting template Correspondence posture feature be compared, obtain posture similarity;
Since the posture feature can be expressed as the form of vector, the comparison of posture feature can be converted to posture feature The distance between vector is obtained in comparison between vector, the vector distance being obtained then is converted into the posture similarity.
At step 104, when the posture similarity reaches threshold value, shooting operation is performed.
The value size of the threshold value, in the disclosure also without being particularly limited to, those skilled in the art can be according to reality User demand be configured.
As seen from the above-described embodiment, it is clapped by the posture feature and image for the target that is taken in the picture of finding a view that will get The correspondence posture feature for taking the photograph in template the target that is taken is compared, and obtains posture similarity, and reach in the posture similarity Shooting operation is performed during to threshold value, user can be helped to shoot and similarity higher figure identical with image taking template posture Piece.
As shown in Fig. 2, Fig. 2 is the flow chart according to another image capturing method shown in an exemplary embodiment.Value It must illustrate, in the present embodiment by the target that is taken to be illustrated for personage, by the target that is taken for for personage It is exemplary only, it is not used to limit the disclosure.
Another image capturing method as shown in Figure 2, including step performed below:
In step 201, template is shot according to user instruction selected digital image;
After mobile terminal starts shooting function, the camera of the mobile terminal starts enabled and enters live view shape State, picture of finding a view in real time are presented by the display screen of mobile terminal to user.The client at this point, user can be taken pictures by preview The template list in software is held, come the image taking template that clock is selected to anticipate.For example, user can be by using in finger touch display screen Corresponding position select image taking template so that the instruction that mobile terminal is triggered according to the touch operation of user's finger Selected digital image shoots template.
Wherein, the image taking template in the template list can be the default template preloaded in client of taking pictures, It can also be the template of User Defined loading;
If described image shooting template is the default template preloaded in client of taking pictures, led to by client software Cross the posture feature that preset algorithm obtains the person of being taken in described image shooting template in advance;
It, can be with before the step 201 is performed if described image shooting template is the template of User Defined loading The image taking template of user's loading is preserved, for example, described image shooting template can be the star that user is obtained by network Then photo obtains the posture feature that described image shoots the person of being taken in template, so that user is from loading by preset algorithm Image taking template in select image taking template.
The posture feature of the wherein described person of being taken can usually include:Human face posture feature and human body attitude feature;
The preset algorithm, usually may include:ASM (Active Shape Model, active shape model) algorithm, AAM (Active Appearance Model, active appearance models) algorithm, SDM (Sparse Deforming Model, it is sparse Deformation model) algorithm, pedestrian detection algorithm, human body attitude algorithm for estimating and human body attitude algorithm for estimating etc..
In step 202, it finds a view the posture feature of target of being taken in picture;
After user selected image shoots template, client software is found a view the present frame figure in picture in real time at this time Picture, and each frame image is calculated successively according to acquisition sequence by the preset algorithm, to obtain the present frame figure Face and human body attitude feature as in.
For example, in one exemplary embodiment, client software can be extracted described current by ASM, AAM, SDM scheduling algorithm The characteristic point of face in frame image, and record the position of each characteristic point;Then a larger side is extended below face location Frame extracts HOG (the Histogram of of human body in the current frame image in the box by pedestrian detection algorithm Oriented Gradient, histograms of oriented gradients) feature, using the HOG features as human body attitude feature;Or pass through Human body attitude algorithm for estimating parses the position of partes corporis humani point, using the position of each section as human body attitude feature.Certainly, Human body attitude feature in can also extracting the current frame image first when realizing, then extends one more than position of human body Larger box extracts the human face posture feature in the current frame image in the box;It alternatively, can also be according to different calculations Method extracts face and human body attitude feature respectively.In the disclosure, not to obtain image in posture feature used by preset Algorithm and sequence of extraction are particularly limited.
In step 203, being clapped in target and described image shooting template that be taken found a view described in generation in picture Take the photograph the feature vector of each single item posture feature of target;
Due to the face and human body attitude feature that are got by the preset algorithm, it can be expressed as the shape of vector Therefore the human face posture feature for the person of being taken and human body attitude feature, in this step, can be generated as face appearance by formula respectively State feature vector and human body attitude feature vector;
In step 204, the vector distance between the feature vector of each single item posture feature is calculated;
When carrying out vector distance calculating, can calculate respectively the human face posture feature vector and human body attitude feature to Vector distance between amount obtains human face posture feature vector distance and human body attitude feature vector distance.
In step 205, preset distance and similarity correspondence are inquired according to the vector distance, obtained described every The similarity of one posture feature;
By the human face posture feature vector distance calculated and human body attitude feature vector distance respectively inquire it is preset to Span is from the correspondence between similarity value, with regard to that can show that corresponding human face posture similarity is similar with human body attitude Degree.
For example, if the correspondence between preset vector distance and similarity value is as shown in table 1 below:
Vector distance 1 2 3 4 5 6
Similarity value 1 0.8 0.6 0.4 0.2 0
Table 1
If the vector distance between the human face posture feature vector of the person of being taken calculated at this time is 2, human body attitude Vector distance between feature vector is 3, and it is 0.8 to check in human face posture similarity thus according to above-mentioned correspondence;Human body appearance State similarity is 0.6;
In step 206, the similarity of each single item posture feature is carried out according to the weight ratio of each single item posture feature Weighted calculation obtains the posture similarity;
Wherein, face or the corresponding weight ratio of human body attitude feature, refer to face or human body attitude feature to the appearance The influence degree of state similarity.The weight ratio can be according to face and human body in picture of finding a view occupied area size and Setting;The face and human body the occupied area size in picture of finding a view can obtain face and people by preset algorithm It is obtained during the posture feature of body;The face and human body attitude similarity are weighted and referred to, the people that will be calculated Face posture similarity is added after being multiplied by the weighting ratio of itself respectively with human body attitude similarity.
It should be noted that:On the one hand, for some special photographed scenes, for example major part shines or the person of being taken is back to mirror In the case of head, the posture feature for the person of being taken usually only includes human face posture feature or human body attitude feature;Then, it will calculate The human face posture feature vector distance gone out or the human body attitude feature vector distance are by inquiring preset vector distance Correspondence between similarity value, with regard to that can obtain the posture similarity;
On the other hand, for normal photographing scene, the posture feature for the person of being taken generally includes human face posture feature and people Body posture feature, then, by the human face posture feature vector distance calculated and the human body attitude feature vector distance The correspondence between preset vector distance and similarity value is inquired respectively, with regard to that can obtain corresponding human face posture similarity With human body attitude similarity, then according to the weight ratio of setting to human face posture similarity and human body attitude similarity into After row weighted calculation, the posture similarity is obtained.
For example, user use mobile terminal carry out vista shot when, due in vista shot human body in picture of finding a view Middle occupied area is usually larger, it is believed that human body attitude feature is affected to final posture similarity, so as to be human body appearance State feature sets a higher weight ratio.Assuming that the size of human body occupied area is face shared by face in picture of currently finding a view Long-pending 3 times, then can corresponding be human body attitude when to human body attitude feature and human body attitude feature setting weight ratio Feature sets the weight ratio of one 0.75, and the weight ratio of one 0.25 is set for face posture feature.To the face When being weighted with human body attitude similarity, the human face posture similarity calculated is multiplied by 0.25 and obtains human face posture phase Like the weighted results of degree, the human body attitude similarity calculated is multiplied by 0.75 and obtains the weighted results of human body attitude similarity, Then the weighted results of the human face posture similarity are added to obtain with the weighted results of the human body attitude similarity described Posture similarity.
In step 207, when the posture similarity reaches threshold value, shooting operation is performed;
After the posture similarity is calculated, judge whether the posture similarity has reached threshold value at this time;When described Posture similarity has reached threshold value, then performs photographing operation, can be referred to as automatic camera pattern above.
The disclosure can also provide another exposal model, when the posture similarity threshold has reached preset threshold value When, export prompt message to user;When receiving the shooting instruction that user inputs according to the prompt message, triggering shooting behaviour Make, manual exposal model can be referred to as above.In addition, when the posture similarity is not up to the threshold value, can also to Family exports prompt message, user's adjustment action or posture is reminded, to adapt to the shooting template.
Wherein, the prompt message can take current posture similarity in the disclosure without being particularly limited to Value is prompted to user in a manner of prompting frame or prompts the focus point turn colors in picture of finding a view to user.
By above example as it can be seen that by calculating current frame image and the posture phase of image taking template in picture of finding a view Like degree, and shooting operation is performed when the posture similarity reaches threshold value, user can be helped to shoot and image taking mould Plate posture is identical and the higher picture of similarity;Meanwhile by introducing corresponding weight ratio for posture feature so that the disclosure can Different photographed scenes is adapted to, user experience can be enhanced.
In another optional embodiment, with reference to above-mentioned Fig. 1 or Fig. 2 shows embodiment, perform abovementioned steps 102 Or when 202, whether the target that is taken that can be detected in the picture of finding a view is goal-selling type;For example, in the present embodiment In, the goal-selling type can be human body;When the target that is taken in picture of finding a view described in detecting is goal-selling class It finds a view during type, described in acquisition the posture feature of target of being taken in picture.
In the present embodiment, still by default photographic subjects for for personage;When being shot to personage, detection at this time takes Whether the target that is taken in scape picture is goal-selling type, be equal to detection find a view in picture whether the operation of someone;Therefore, It can be taken in picture of finding a view described in acquisition before the operation of targeted attitude feature, to present frame figure in the picture of finding a view As carry out Face datection, human testing or Face datection and human testing come determine in current picture of finding a view whether someone.
For example, can Face datection and human testing be carried out to the current frame image in picture of finding a view simultaneously, when detecting When the current frame image includes face characteristic, characteristics of human body or face and characteristics of human body, then be taken mesh described in acquisition Target posture feature.Otherwise, next frame image is obtained.It is of course also possible to use similar to detections such as moving object detections Means are detected the current frame image, with determine in current picture of finding a view whether someone.
By above example as it can be seen that by being preset before being taken the posture feature of target in picture of finding a view The detection of target type, can be to avoid acquisition to determine whether the shot type in the picture of finding a view is goal-selling type To the posture feature information unrelated with goal-selling type, so as to reduce calculation amount.
In another optional embodiment, with reference to above-mentioned Fig. 1 or Fig. 2 shows embodiment, performing the step 102 Or before 202, template can also be shot to described image and carry out contoured processing;By the wheel of treated described image shooting template Wide Overlapping display is in the picture of finding a view.
In the present embodiment, contoured processing is carried out, and will treated the figure by the way that described image is shot template As the profile of shooting template is superimposed upon in picture of finding a view so that user can according to the profile to the posture of the target that is taken into Row correction, so as to improve shooting quality.
For example, Fig. 3 is referred to, when user needs to shoot one and " aircraft carrier Style " posture for friend by mobile terminal The picture of " the aircraft carrier Style " of standard can be loaded into client software of taking pictures by identical photo as image taking template In;Client software of taking pictures carries out contoured processing to the template, then will treated that profile is added to finds a view in picture, from And user can guide the person of being taken to carry out posture alignment when taking pictures according to the profile.
In another optional embodiment, with reference to above-mentioned Fig. 1 or Fig. 2 shows embodiment, after shooting operation is performed, Multiple images shot can also be showed in a manner of image sequence or short-sighted frequency into Mobile state;It is or more by what is shot It opens after the average image is obtained in self-timer image and is showed.
In the present embodiment, on the one hand, image will have been shot and showed in a manner of image sequence or short-sighted frequency into Mobile state, Good contrast effect can be reached;On the other hand, since face alignment can be more accurate, under self-timer scene, Multiple self-timer image makings can be showed into the gradual animation effect for deforming, converting successively;Completion can will be also shot Self-timer image issue other users, other users continuation is taken pictures according to same posture, after the average image is obtained after taking pictures in more people It is propagated on similar to social network sites such as circle of friends, so as to promote user experience.Wherein, the average image refers to, at several The feature of a part of face is extracted in different images respectively, then generates one newly according to the part face characteristic extracted respectively Picture.
Corresponding with aforementioned image capturing method embodiment, the disclosure additionally provides the embodiment of image capturing device.
Fig. 4 is the schematic block diagram according to a kind of image capturing device shown in an exemplary embodiment.
As shown in figure 4, a kind of image capturing device 400 according to an exemplary embodiment, including:Chosen module 401st, the first acquisition module 402, comparison module 403, taking module 404;Wherein:
Chosen module 401 is configured as, and template is shot according to user instruction selected digital image;
First acquisition module 402 is configured as, the posture feature for the target that is taken in picture of finding a view;
Comparison module 403 is configured as, and the posture feature for the target that is taken in the picture of finding a view and described image are clapped The posture feature for taking the photograph in template the target that is taken is compared, and obtains posture similarity;
Taking module 404 is configured as, and when the posture similarity reaches threshold value, performs shooting operation.
In above-described embodiment, pass through the posture feature for the target that is taken in the picture of finding a view that will get and image taking mould The correspondence posture feature for the target that is taken in plate is compared, and obtains posture similarity, and reach threshold in the posture similarity Shooting operation is performed during value, user can be helped to shoot and similarity higher picture identical with image taking template posture.
Fig. 5 is referred to, Fig. 5 is another image capturing device block diagram of the disclosure according to an exemplary embodiment, For the embodiment on the basis of aforementioned embodiment illustrated in fig. 4, described image filming apparatus 400 further includes preserving module 405 and Two acquisition modules 406;
The preserving module 405 is configured as, and preserves the image taking template of user's loading;
Second acquisition module 406 is configured as, and the posture for obtaining the target that is taken in described image shooting template is special Sign.
In above-described embodiment, saved by regarding the picture that user loads as image taking template, to facilitate next time It is directly used when taking pictures, realizes the User Defined of picture shooting template, help to promote user experience.
Fig. 6 is referred to, Fig. 6 is another image capturing device block diagram of the disclosure according to an exemplary embodiment, For the embodiment on the basis of aforementioned embodiment illustrated in fig. 4, first acquisition module 402 can include module of target detection 402A and posture acquisition module 402B;
Module of target detection 402A is configured as, and whether the target that is taken in picture of finding a view described in detection is goal-selling Type;
Posture acquisition module 402B is configured as, and the target that is taken in the picture of finding a view is detected is goal-selling The posture feature for the target that is taken during type, described in acquisition.
It should be noted that the structure of the first acquisition module 402 shown in above-mentioned device embodiment shown in fig. 6, It may be embodied in the device embodiment of earlier figures 5, this disclosure be not limited.
In above-described embodiment, goal-selling is carried out by being taken in picture of finding a view before the posture feature of target The detection of type, to determine whether the shot type in the picture of finding a view is goal-selling type, can to avoid get with The unrelated posture feature information of goal-selling type, so as to reduce calculation amount.
Fig. 7 is referred to, Fig. 7 is another image capturing device block diagram of the disclosure according to an exemplary embodiment, On the basis of aforementioned embodiment illustrated in fig. 4, the comparison module 403 can include the embodiment:Vector generation module 403A, Vector calculation module 403B, vector query module 403C and weighted calculation module 304D;
Vector generation module 403A is configured as, be taken target and described image shooting in picture of finding a view described in generation The feature vector of each single item posture feature of the target that is taken in template;
Vector calculation module 403B is configured as, calculate between the feature vector of each single item posture feature to span From;
The vector query module 403C is configured as, and preset distance and similarity pair are inquired according to the vector distance It should be related to, obtain the similarity of each single item posture feature;
The weighted calculation module 403D is configured as, according to the weight ratio of each single item posture feature to each single item posture The similarity of feature is weighted, and obtains the posture similarity.
It should be noted that the structure of comparison module 403 shown in above-mentioned device embodiment shown in Fig. 7, it can also Included in earlier figures 5 or the device embodiment of Fig. 6, this disclosure is not limited.
Fig. 8 is referred to, Fig. 8 is another image capturing device block diagram of the disclosure according to an exemplary embodiment, On the basis of aforementioned embodiment illustrated in fig. 4, described image filming apparatus 400 further includes processing module 407 and folds the embodiment Add module 408:
Processing module 407 is configured as, and contoured processing is carried out to described image shooting template;
Laminating module 408 is configured as, and the profile Overlapping display of treated described image shooting template is taken described In scape picture.
It should be noted that the processing module 408 and laminating module 409 that are shown in above-mentioned device embodiment shown in Fig. 8 It can also be included in earlier figures 5 to device embodiment any Fig. 7, this disclosure is not limited.
In the above-described embodiments, contoured processing is carried out by the way that described image is shot template, and will that treated is described The profile of image taking template is superimposed upon in picture of finding a view so that and user can be corrected the posture for the target that is taken, from And improve shooting quality.
Fig. 9 is referred to, Fig. 9 is another image capturing device block diagram of the disclosure according to an exemplary embodiment, On the basis of aforementioned embodiment illustrated in fig. 4, the taking module 404 includes the embodiment:
Reminding module 404A is configured as, and when the posture similarity reaches predetermined threshold value, prompting letter is exported to user Breath;
First trigger module 404B is configured as, in the shooting instruction for receiving user and being inputted according to the prompt message When, trigger shooting operation.
It should be noted that the reminding module 404A and trigger module that are shown in above-mentioned device embodiment shown in Fig. 9 404B can also be included in earlier figures 5 to device embodiment any Fig. 8, this disclosure is not limited.In above-mentioned reality It applies in example, by the way that when the posture similarity reaches predetermined threshold value, prompt message is exported to user;And receiving user's root According to the prompt message input shooting instruction when, trigger shooting operation, so as to provide a kind of new screening-mode, to adapt to Different user demands can promote user experience.
Figure 10 is referred to, Figure 10 is another image capturing device frame of the disclosure according to an exemplary embodiment Figure, on the basis of aforementioned embodiment illustrated in fig. 4, the taking module 404 includes the embodiment:
Second trigger module 404C is configured as, when the posture similarity reaches predetermined threshold value, automatic trigger shooting Operation.
It should be noted that the second trigger module 404C shown in above-mentioned device embodiment shown in Fig. 10 can also be wrapped It is contained in earlier figures 5 to device embodiment any Fig. 9, this disclosure is not limited.
In the above-described embodiments, by the way that when the posture similarity reaches predetermined threshold value, automatic trigger shooting operation carries Supply a kind of new screening-mode, to adapt to different user demands, user experience can be promoted.
Figure 11 is referred to, Figure 11 is another image capturing device frame of the disclosure according to an exemplary embodiment Figure, on the basis of aforementioned embodiment illustrated in fig. 4, described image filming apparatus 400 further includes at least one following the embodiment Module:
First display module 409 is configured as, by multiple images shot by the shooting operation with image sequence or The mode of short-sighted frequency is showed;
Second display module 410 is configured as, multiple images shot by the shooting operation are obtained the average image After showed.
Wherein, the average image refers to, extracts the feature of a part of face respectively in the image of several Zhang Butong, then Part face characteristic according to extracting respectively generates a new picture.
It should be noted that the first display module 409 and the second displaying mould are also shown in Figure 11 in order to which example facilitates Block 410, device described in practical application can only include any of the above-described module;In addition, the device embodiment shown in above-mentioned Figure 11 In the first display module 409 for showing and the second display module 410 can also to be included in earlier figures 5 real to device any Figure 10 It applies in example, this disclosure is not limited.
In the above-described embodiments, on the one hand, image will have been shot in a manner of image sequence or short-sighted frequency into Mobile state exhibition It is existing, good contrast effect can be reached;On the other hand, since face alignment can be more accurate, for self-timer scene Under, multiple self-timer image makings can be showed into the gradual animation effect for deforming, converting successively;It can will also shoot Into self-timer image issue other users, other users continuation is taken pictures according to same posture, and the average image is obtained after taking pictures in more people It is propagated on similar to social network sites such as circle of friends afterwards, user experience can be promoted.
Correspondingly, the disclosure also provides a kind of image capturing device, described device include memory and one or More than one program, either more than one program is stored in memory and is configured to by one or one for one of them A Yi Shang processor performs the one or more programs and includes the instruction for being operated below:
Template is shot according to user instruction selected digital image;
It finds a view the posture feature of target of being taken in picture;
By the target that is taken in the posture feature for the target that is taken in the picture of finding a view and described image shooting template Posture feature is compared, and obtains posture similarity;
When the posture similarity reaches threshold value, shooting operation is performed.
The function of each unit and the realization process of effect specifically refer to and step are corresponded in the above method in above device Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related part is referring to method reality Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separating component The unit of explanation may or may not be physically separate, and the component shown as unit can be or can also It is not physical unit, you can be located at a place or can also be distributed in multiple network element.It can be according to reality It needs that some or all of module therein is selected to realize the purpose of disclosure scheme.Those of ordinary skill in the art are not paying In the case of going out creative work, you can to understand and implement.
Figure 12 is the structure diagram according to a kind of image capturing device shown in an exemplary embodiment.
As shown in figure 12, a kind of image capturing device 1200 according to an exemplary embodiment, which can To be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices are good for Body equipment, personal digital assistant etc..
With reference to Figure 12, device 1200 can include following one or more components:Processing component 1201, memory 1202, Power supply module 1203, multimedia component 1204, audio component 1205, the interface 1206 of input/output (I/O), sensor module 1207 and communication component 1208.
The integrated operation of 1201 usual control device 1200 of processing component, such as with display, call, data communication, Camera operation and record operate associated operation.Processing component 1201 can be performed including one or more processors 1209 Instruction, to perform all or part of the steps of the methods described above.In addition, processing component 1201 can include one or more moulds Block, convenient for the interaction between processing component 1201 and other assemblies.For example, processing component 1201 can include multi-media module, To facilitate the interaction between multimedia component 1204 and processing component 1201.
Memory 1202 is configured as storing various types of data to support the operation in device 1200.These data Example is included for the instruction of any application program or method that is operated on device 1200, contact data, telephone book data, Message, picture, video etc..Memory 1202 can by any kind of volatibility or non-volatile memory device or they Combination is realized, such as static RAM (SRAM), electrically erasable programmable read-only memory (EEPROM), it is erasable can Program read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory Reservoir, disk or CD.
Power supply module 1203 provides electric power for the various assemblies of device 1200.Power supply module 1203 can include power management System, one or more power supplys and other generate, manage and distribute electric power associated component with for device 1200.
Multimedia component 1204 is included in the screen of one output interface of offer between described device 1200 and user. In some embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, Screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch and passes Sensor is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or slide dynamic The boundary of work, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, it is more Media component 1204 includes a front camera and/or rear camera.When device 1200 is in operation mode, mould is such as shot When formula or video mode, front camera and/or rear camera can receive external multi-medium data.Each preposition camera shooting Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 1205 is configured as output and/or input audio signal.For example, audio component 1205 includes a wheat Gram wind (MIC), when device 1200 is in operation mode, during such as call model, logging mode and speech recognition mode, microphone quilt It is configured to receive external audio signal.The received audio signal can be further stored in memory 1202 or via communication Component 1208 is sent.In some embodiments, audio component 1205 further includes a loud speaker, for exports audio signal.
I/O interfaces 1202 provide interface, above-mentioned peripheral interface module between processing component 1201 and peripheral interface module Can be keyboard, click wheel, button etc..These buttons may include but be not limited to:Home button, volume button, start button and Locking press button.
Sensor module 1207 includes one or more sensors, and the state for providing various aspects for device 1200 is commented Estimate.For example, sensor module 1207 can detect opening/closed state of device 1200, the relative positioning of component, such as institute The display and keypad that component is device 1200 are stated, sensor module 1207 can be with detection device 1200 or device 1,200 1 The position change of a component, the existence or non-existence that user contacts with device 1200,1200 orientation of device or acceleration/deceleration and dress Put 1200 temperature change.Sensor module 1207 can include proximity sensor, be configured in no any physics It is detected the presence of nearby objects during contact.Sensor module 1207 can also include optical sensor, as CMOS or ccd image are sensed Device, for being used in imaging applications.In some embodiments, which can also include acceleration sensing Device, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 1208 is configured to facilitate the communication of wired or wireless way between device 1200 and other equipment.Dress The wireless network based on communication standard, such as WiFi can be accessed by putting 1200,2G or 3G or combination thereof.It is exemplary at one In embodiment, communication component 1208 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel Information.In one exemplary embodiment, the communication component 1208 further includes near-field communication (NFC) module, to promote short distance Communication.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module (UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 1200 can be by one or more application application-specific integrated circuit (ASIC), number Signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided Such as include the memory 1202 of instruction, above-metioned instruction can be performed to complete the above method by the processor 1209 of device 1200.Example Such as, the non-transitorycomputer readable storage medium can be ROM, it is random access memory (RAM), CD-ROM, tape, soft Disk and optical data storage devices etc..
Wherein, when the instruction in the storage medium is performed by the processor of mobile terminal so that mobile terminal can A kind of image capturing method is performed, including:
Template is shot according to user instruction selected digital image;
It finds a view the posture feature of target of being taken in picture;
The corresponding posture that the posture feature of the target that is taken is shot to the target that is taken in template with described image is special Sign is compared, and obtains posture similarity;
When the posture similarity reaches threshold value, shooting operation is performed.
Those skilled in the art will readily occur to the present invention its after considering specification and putting into practice invention disclosed herein Its embodiment.This application is intended to cover the present invention any variations, uses, or adaptations, these modifications, purposes or Person's adaptive change follows the general principle of the present invention and including the undocumented common knowledge in the art of the disclosure Or conventional techniques.Description and embodiments are considered only as illustratively, and true scope and spirit of the invention are by following Claim is pointed out.
It should be understood that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is only limited by appended claim.

Claims (11)

1. a kind of image capturing method, which is characterized in that including:
Template is shot according to user instruction selected digital image;
Contoured processing is carried out to described image shooting template;
By treated, described image shoots the profile Overlapping display of template in picture of finding a view;
It finds a view described in acquisition the posture feature of target of being taken in picture, the posture feature includes human face posture feature and human body Posture feature;
The each single item appearance of be taken target and the target that is taken in described image shooting template found a view described in generation in picture The feature vector of state feature;
Calculate the vector distance between the feature vector of each single item posture feature;
Preset distance and similarity correspondence are inquired according to the vector distance, obtain the phase of each single item posture feature Like degree;
The similarity of each single item posture feature is weighted according to the weight ratio of each single item posture feature, obtains posture Similarity;
When the posture similarity reaches threshold value, shooting operation is performed;
It will be showed in a manner of image sequence or short-sighted frequency multiple images that the shooting operation is shot;Or it will pass through Multiple images of the shooting operation shooting are showed after the average image is obtained.
2. the method as described in claim 1, which is characterized in that before the shooting template according to user instruction selected digital image, It further includes:
Preserve the image taking template of user's loading;
Obtain the posture feature for the target that is taken in described image shooting template.
3. the method as described in claim 1, which is characterized in that the posture feature for the target that is taken in the picture of finding a view Including:
Whether the target that is taken found a view described in detection in picture is goal-selling type;
When detecting the target that is taken in the picture of finding a view as goal-selling type, the appearance for the target that is taken described in acquisition State feature.
4. the method as described in claim 1, which is characterized in that it is described when the posture similarity reaches threshold value, perform bat Operation is taken the photograph to include:
When the posture similarity reaches predetermined threshold value, prompt message is exported to user;
When receiving the shooting instruction that user inputs according to the prompt message, shooting operation is triggered.
5. the method as described in claim 1, which is characterized in that it is described when the posture similarity reaches threshold value, perform bat Operation is taken the photograph to include:
When the posture similarity reaches predetermined threshold value, automatic trigger shooting operation.
6. a kind of image capturing device, which is characterized in that including:
Chosen module, for shooting template according to user instruction selected digital image;
Processing module, for carrying out contoured processing to described image shooting template;
Laminating module, for described image to shoot the profile Overlapping display of template in picture of finding a view by treated;
First acquisition module, for obtaining the posture feature for the target that is taken in the picture of finding a view, the posture feature includes Human face posture feature and human body attitude feature;
Comparison module, for generating the mesh that is taken being taken in target and described image shooting template in the picture of finding a view The feature vector of target each single item posture feature;Calculate the vector distance between the feature vector of each single item posture feature; Preset distance and similarity correspondence are inquired according to the vector distance, obtain the similar of each single item posture feature Degree;The similarity of each single item posture feature is weighted according to the weight ratio of each single item posture feature, obtains posture Similarity;
Taking module, for when the posture similarity reaches threshold value, performing shooting operation;
First display module, for will be multiple images that the shooting operation is shot in a manner of image sequence or short-sighted frequency Showed;Alternatively, the second display module, after multiple images shot by the shooting operation are obtained the average image Showed.
7. device as claimed in claim 6, which is characterized in that described device further includes:
Preserving module, for preserving the image taking template of user's loading;
Second acquisition module, for obtaining the posture feature for the target that is taken in described image shooting template.
8. device as claimed in claim 6, which is characterized in that first acquisition module includes:
Whether module of target detection is goal-selling type for detecting the target that is taken in the picture of finding a view;
Posture acquisition module, for when the target that is taken in detecting the picture of finding a view is goal-selling type, obtaining The posture feature of the target that is taken.
9. device as claimed in claim 6, which is characterized in that the taking module includes:
Reminding module, for when the posture similarity reaches predetermined threshold value, prompt message to be exported to user;
First trigger module, for when receiving the shooting instruction that user inputs according to the prompt message, triggering shooting to be grasped Make.
10. device as claimed in claim 6, which is characterized in that the taking module includes:
Second trigger module, for when the posture similarity reaches predetermined threshold value, automatic trigger shooting operation.
11. a kind of image capturing device, which is characterized in that including:
Processor;
For storing the memory of processor-executable instruction;
Wherein, the processor is configured as:
Template is shot according to user instruction selected digital image;
Contoured processing is carried out to described image shooting template;
By treated, described image shoots the profile Overlapping display of template in picture of finding a view;
It finds a view described in acquisition the posture feature of target of being taken in picture, the posture feature includes human face posture feature and human body Posture feature;
The each single item appearance of be taken target and the target that is taken in described image shooting template found a view described in generation in picture The feature vector of state feature;
Calculate the vector distance between the feature vector of each single item posture feature;
Preset distance and similarity correspondence are inquired according to the vector distance, obtain the phase of each single item posture feature Like degree;
The similarity of each single item posture feature is weighted according to the weight ratio of each single item posture feature, obtains posture Similarity;
When the posture similarity reaches threshold value, shooting operation is performed;
It will be showed in a manner of image sequence or short-sighted frequency multiple images that the shooting operation is shot;Or it will pass through Multiple images of the shooting operation shooting are showed after the average image is obtained.
CN201410287143.5A 2014-06-24 2014-06-24 Image capturing method and device Active CN104125396B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410287143.5A CN104125396B (en) 2014-06-24 2014-06-24 Image capturing method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410287143.5A CN104125396B (en) 2014-06-24 2014-06-24 Image capturing method and device

Publications (2)

Publication Number Publication Date
CN104125396A CN104125396A (en) 2014-10-29
CN104125396B true CN104125396B (en) 2018-06-08

Family

ID=51770648

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410287143.5A Active CN104125396B (en) 2014-06-24 2014-06-24 Image capturing method and device

Country Status (1)

Country Link
CN (1) CN104125396B (en)

Families Citing this family (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104486542A (en) * 2014-11-28 2015-04-01 广东欧珀移动通信有限公司 Triggering picture taking method and device
CN105744141A (en) * 2014-12-11 2016-07-06 中兴通讯股份有限公司 Intelligent shooting method and apparatus
CN104539842B (en) * 2014-12-17 2018-02-13 宇龙计算机通信科技(深圳)有限公司 Intelligent photographing method and camera arrangement
CN104767940B (en) * 2015-04-14 2018-09-11 广东欧珀移动通信有限公司 Photographic method and device
CN104935810A (en) * 2015-05-29 2015-09-23 努比亚技术有限公司 Photographing guiding method and device
CN106649296B (en) * 2015-07-20 2020-07-14 阿里巴巴集团控股有限公司 Method and device for providing photographing prompt information and searching business object
CN105407285A (en) * 2015-12-01 2016-03-16 小米科技有限责任公司 Photographing control method and device
CN105554394A (en) * 2016-01-27 2016-05-04 努比亚技术有限公司 Photographing method and device
CN106408603B (en) * 2016-06-21 2023-06-02 北京小米移动软件有限公司 Shooting method and device
CN105915806A (en) * 2016-06-29 2016-08-31 北京小米移动软件有限公司 Picture shooting method and device
CN106210561A (en) * 2016-08-10 2016-12-07 珠海格力电器股份有限公司 Mobile phone photographing method and device and terminal
EP3537706A4 (en) * 2016-11-30 2019-11-06 Huawei Technologies Co., Ltd. Photographing method, apparatus, and terminal device
CN109215052A (en) * 2017-06-29 2019-01-15 沈阳新松机器人自动化股份有限公司 Quick human body searching method and system based on motion segmentation
CN107370942B (en) * 2017-06-30 2020-01-14 Oppo广东移动通信有限公司 Photographing method, photographing device, storage medium and terminal
US10367987B2 (en) * 2017-08-04 2019-07-30 SMPL Inc. System and method for sensor-driven automatic device interaction
CN107734251A (en) * 2017-09-29 2018-02-23 维沃移动通信有限公司 A kind of photographic method and mobile terminal
CN109788186A (en) * 2017-11-14 2019-05-21 东斓视觉科技发展(北京)有限公司 Intelligent camera machine people, intelligent camera system and its image pickup method
CN108040289A (en) * 2017-12-12 2018-05-15 天脉聚源(北京)传媒科技有限公司 A kind of method and device of video playing
CN110192168B (en) * 2017-12-29 2022-06-10 深圳市大疆创新科技有限公司 Unmanned aerial vehicle photographing method, image processing method and device
US10574881B2 (en) * 2018-02-15 2020-02-25 Adobe Inc. Smart guide to capture digital images that align with a target image model
CN108600609A (en) * 2018-03-19 2018-09-28 维沃移动通信有限公司 The method and device of auxiliary photo-taking
CN108540724A (en) * 2018-04-28 2018-09-14 维沃移动通信有限公司 A kind of image pickup method and mobile terminal
CN111279684A (en) * 2018-05-07 2020-06-12 合刃科技(武汉)有限公司 Shooting control method and electronic device
WO2019213819A1 (en) * 2018-05-07 2019-11-14 合刃科技(武汉)有限公司 Photographing control method and electronic device
WO2019218111A1 (en) * 2018-05-14 2019-11-21 合刃科技(武汉)有限公司 Electronic device and photographing control method
CN108921815A (en) * 2018-05-16 2018-11-30 Oppo广东移动通信有限公司 It takes pictures exchange method, device, storage medium and terminal device
CN108668061A (en) * 2018-05-18 2018-10-16 北京京东尚科信息技术有限公司 Intelligent camera
CN110611732B (en) * 2018-06-15 2021-09-03 Oppo广东移动通信有限公司 Window control method and related product
CN108846377A (en) * 2018-06-29 2018-11-20 百度在线网络技术(北京)有限公司 Method and apparatus for shooting image
CN110162204B (en) * 2018-10-09 2022-08-12 腾讯科技(深圳)有限公司 Method and device for triggering device function and method for controlling image capture
CN109194879B (en) * 2018-11-19 2021-09-07 Oppo广东移动通信有限公司 Photographing method, photographing device, storage medium and mobile terminal
CN110113523A (en) * 2019-03-15 2019-08-09 深圳壹账通智能科技有限公司 Intelligent photographing method, device, computer equipment and storage medium
CN110213487B (en) * 2019-06-06 2021-06-25 恒信东方文化股份有限公司 Full-automatic photographing method and device
CN110297929A (en) * 2019-06-14 2019-10-01 北京达佳互联信息技术有限公司 Image matching method, device, electronic equipment and storage medium
CN116320721A (en) * 2019-08-29 2023-06-23 腾讯科技(深圳)有限公司 Shooting method, shooting device, terminal and storage medium
CN110545386B (en) * 2019-09-25 2022-07-29 上海掌门科技有限公司 Method and apparatus for photographing image
CN113114924A (en) * 2020-01-13 2021-07-13 北京地平线机器人技术研发有限公司 Image shooting method and device, computer readable storage medium and electronic equipment
CN112422823B (en) * 2020-11-09 2022-08-09 广汽本田汽车有限公司 Automatic visual shooting triggering method and device
CN112843688A (en) * 2020-12-31 2021-05-28 上海米哈游天命科技有限公司 Shooting method, device, equipment and storage medium
CN113987602A (en) * 2021-10-28 2022-01-28 维沃移动通信有限公司 Image data processing method and electronic equipment
CN117156260A (en) * 2023-10-30 2023-12-01 荣耀终端有限公司 Photographing method and electronic equipment

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100855631B1 (en) * 2006-12-26 2008-09-01 (주)엔토시스 Apparatus and method for detecting feature vector and Apparatus and method for recognizing face from an image using the same
CN101510257B (en) * 2009-03-31 2011-08-10 华为技术有限公司 Human face similarity degree matching method and device
CN101989326B (en) * 2009-07-31 2015-04-01 三星电子株式会社 Human posture recognition method and device
CN102467742B (en) * 2010-10-29 2013-11-06 华晶科技股份有限公司 Object tracking method
CN102891958A (en) * 2011-07-22 2013-01-23 北京华旗随身数码股份有限公司 Digital camera with posture guiding function
CN102592288B (en) * 2012-01-04 2014-07-02 西安理工大学 Method for matching pursuit of pedestrian target under illumination environment change condition
CN103295002B (en) * 2013-06-03 2016-08-10 北京工业大学 A kind of full Method of pose-varied face based on the complete affine scale invariant feature of two-value attitude
CN103593598B (en) * 2013-11-25 2016-09-21 上海骏聿数码科技有限公司 User's on-line authentication method and system based on In vivo detection and recognition of face

Also Published As

Publication number Publication date
CN104125396A (en) 2014-10-29

Similar Documents

Publication Publication Date Title
CN104125396B (en) Image capturing method and device
CN105631408B (en) Face photo album processing method and device based on video
CN105430262B (en) Filming control method and device
CN104850828B (en) Character recognition method and device
KR101910346B1 (en) Picture processing method and apparatus
CN110059661A (en) Action identification method, man-machine interaction method, device and storage medium
US10115019B2 (en) Video categorization method and apparatus, and storage medium
CN105608425B (en) The method and device of classification storage is carried out to photo
CN104580886B (en) Filming control method and device
CN105279499B (en) Age recognition methods and device
CN107347135B (en) Photographing processing method and device and terminal equipment
WO2018120662A1 (en) Photographing method, photographing apparatus and terminal
US10769743B2 (en) Method, device and non-transitory storage medium for processing clothes information
CN106600530B (en) Picture synthesis method and device
CN106408603A (en) Camera method and device
CN104700353A (en) Image filter generating method and device
US10230891B2 (en) Method, device and medium of photography prompts
JP2017510907A (en) Method and apparatus for folding a photograph
CN108898591A (en) Methods of marking and device, electronic equipment, the readable storage medium storing program for executing of picture quality
JP2022055302A (en) Method and apparatus for detecting occluded image and medium
JP2021175172A (en) Method for shooting image, device for shooting image and storage medium
CN108174082A (en) The method and mobile terminal of a kind of image taking
CN104573642B (en) Face identification method and device
CN110019897B (en) Method and device for displaying picture
CN111698600A (en) Processing execution method and device and readable medium

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant