KR20200102391A - An apparatus for providing additional pattern automatically based on reference patern and methos thereof - Google Patents

Abstract

A method of automatically providing additional patterns based on a reference pattern of a clothing product is provided. The method includes receiving reference pattern image data for a first product, determining a product classification of a first product based on the reference pattern image data, obtaining pattern grading information according to the determined product classification from a database, and And generating additional pattern image data for the first product-the additional pattern has a size different from the reference pattern-based on the reference pattern image data and the pattern grading information for the first product.

Description

Method and device for automatically providing additional patterns based on the reference pattern {AN APPARATUS FOR PROVIDING ADDITIONAL PATTERN AUTOMATICALLY BASED ON REFERENCE PATERN AND METHOS THEREOF}

The present invention relates to a pattern of a product including clothing, and more particularly, to a method and apparatus for automatically providing an additional pattern.

In general, when a designer designs clothing, clothing is produced by producing a pattern for the clothing and combining fabrics cut according to the pattern by a sewing machine or the like. Here, "pattern" refers to a plan view of clothes produced to produce designed clothes.

3 is an exemplary diagram of a pattern for a T-shirt. As shown in FIG. 3, in order to manufacture a T-shirt, for example, it is required to produce three types of patterns such as a front plate, a back plate, and a sleeve, and to combine the cut fabrics according to the patterns. A t-shirt is an example of a clothing product (hereinafter, also referred to as a "goods"), and the clothing product includes many kinds of items such as jeans, skirts, and suits in addition to the t-shirt. Workers who professionally manufacture a pattern as shown in FIG. 3 are referred to as “pattern yarn”.

Meanwhile, a clothing manufacturer first produces a pattern for a reference size (hereinafter, also referred to as a “reference pattern”) for each product, and adds patterns of various sizes using the reference pattern. This is referred to as "additional pattern work", and hereinafter, patterns of various sizes added are referred to as "additional patterns".

Since such additional pattern work is usually performed manually by the experience and intuition of the pattern company, the skill level of the pattern company and the ability of the individual have an absolute influence on the work result. Therefore, for the additional pattern work through manual work of the pattern company, the size of the result is not constant and an error from the expected size may occur, and as the size to be produced is added, the work time increases proportionally, and management cost increases accordingly. In addition, there is a problem that the production cost may also increase, which may weaken the market competitiveness of the product.

Korean Patent Publication No. 10-1569670 ("Clothing pattern design ruler set", Shin Seung-jung)

An object of the present invention for solving the above-described problem is a reference pattern capable of automatically generating and providing an additional pattern using pattern grading information corresponding to the product classification and determining a product classification of the reference pattern based on the reference pattern It provides a method of automatically providing additional patterns based on.

Another object of the present invention for solving the above-described problem is a criterion capable of automatically generating and providing an additional pattern by using the pattern grading information corresponding to the product classification and determining the product classification of the reference pattern based on the reference pattern It provides a device that automatically provides additional patterns based on the pattern.

However, the problem to be solved of the present invention is not limited thereto, and may be variously extended without departing from the spirit and scope of the present invention.

In order to achieve the above object, a method for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention includes: receiving reference pattern image data for a first product; Determining a product classification of the first product based on the reference pattern image data; Obtaining pattern grading information according to the determined product classification from a database; And generating additional pattern image data for the first product-the additional pattern has a different size from the reference pattern-based on the reference pattern image data for the first product and the pattern grading information. I can.

According to an aspect, the determining of the product classification of the first product comprises: classifying a product generated by training an artificial neural network based on a plurality of training data each including reference pattern image data as input and product classification as output. It can be done by a decision model.

According to an aspect, the pattern grading information includes product classification information; Information on essential components according to the product classification-the essential components represent numerical measurement items essential for generating a pattern for the product classification -; And information on the number of the essential components.

According to an aspect, the product classification information includes category information including a top and a bottom; And it may include at least one of detailed product information including long sleeves, short sleeves, sleeveless, long pants, and shorts.

According to an aspect, the generating of the additional pattern image data may include: identifying portions of the reference pattern image data that respectively correspond to the essential components; Moving vertices that become a measurement criterion for each of the identified essential components; And connecting at least two of the moved vertices.

According to an aspect, the pattern grading information further includes priority information for the vertex movement processing of the essential components, and the step of moving the vertices is a required configuration in which the priority precedes based on the priority information. The vertices that are the measurement criteria of the element can be moved first.

According to an aspect, the pattern grading information further includes connection line type information on whether a connection line connecting any two vertices as a measurement reference is a straight line or a curved line, and among the moved vertices In the step of connecting at least two, in response to determining that the connection line type information is a straight line, at least two of the moved vertices may be connected in a straight line.

According to an aspect, the pattern grading information further includes connection line type information on whether a connection line connecting any two vertices as a measurement reference is a straight line or a curved line, and among the moved vertices In the step of connecting at least two, in response to determining that the connection line type information is a curve, at least two of the moved vertices are moved by moving respective points included in the curve connecting the vertex before the movement. Connect, and the amount of movement for each of the points included in the curve is the ratio of the distance between the first vertex and the point included in the curve with respect to the distance between the first vertex and the second vertex at both ends of the curve before movement, After moving, it can be determined by applying the distance between the first and second vertices at both ends of the curve.

According to an aspect, the distance between the first vertex and the second vertex and the distance between the first vertex and the point included in the curve are determined based on any one of an x coordinate value difference and a y coordinate value difference, and the The amount of movement may be determined for the x coordinate and the y coordinate, respectively.

According to an aspect, the step of providing the generated additional pattern image data as a dxf format file may be further included.

An apparatus for automatically providing an additional pattern based on a reference pattern according to another embodiment of the present invention for solving the above-described problem includes a processor, a memory, and a receiving unit, and the processor, by using the receiving unit, Receiving reference pattern image data for a first product; Determining a product classification of the first product based on the reference pattern image data; Obtaining pattern grading information according to the determined product classification from the memory; And, based on the reference pattern image data for the first product and the pattern grading information, it may be configured to generate additional pattern image data for the first product-the additional pattern has a different size from the reference pattern. .

According to an aspect, determining the product classification of the first product includes: determining a product classification generated by training an artificial neural network based on a plurality of training data each including reference pattern image data as input and product classification as output. Can be done by model.

According to an aspect, the pattern grading information includes product classification information; Information on essential components according to the product classification-the essential components represent numerical measurement items essential for generating a pattern for the product classification -; And information on the number of the essential components.

According to an aspect, the product classification information includes category information including a top and a bottom; And it may include at least one of detailed product information including long sleeves, short sleeves, sleeveless, long pants, and shorts.

According to an aspect, generating the additional pattern image data includes: identifying portions in the reference pattern image data that respectively correspond to the essential components; Moving vertices that are the measurement criteria of each of the identified essential components; And it may include connecting at least two of the moved vertices.

According to an aspect, the pattern grading information further includes priority information for the vertex movement processing of the essential components, and moving the vertices is an essential component whose priority precedes based on the priority information. You can first move the vertices that are the measurement criteria of.

According to an aspect, the pattern grading information further includes connection line type information on whether a connection line connecting any two vertices as a measurement reference is a straight line or a curved line, and among the moved vertices Connecting at least two of them may connect at least two of the moved vertices with a straight line in response to a determination that the connection line type information is a straight line.

According to an aspect, the pattern grading information further includes connection line type information on whether a connection line connecting any two vertices as a measurement reference is a straight line or a curved line, and among the moved vertices Connecting at least two, in response to a determination that the connection line type information is a curve, connects at least two vertices of the moved vertices by moving respective points included in the curve connecting the vertex before movement. And, the amount of movement for each point included in the curve is the ratio of the distance between the first vertex and the point included in the curve to the distance between the first vertex and the second vertex at both ends of the curve before movement, Then, it can be determined by applying the distance between the first and second vertices at both ends of the curve.

According to an aspect, the distance between the first vertex and the second vertex and the distance between the first vertex and the point included in the curve are determined based on any one of an x coordinate value difference and a y coordinate value difference, and the The amount of movement may be determined for the x coordinate and the y coordinate, respectively.

According to an aspect, the processor may be further configured to provide the generated additional pattern image data as a dxf format file.

A computer-readable storage medium according to another embodiment of the present invention for solving the above-described problem is a computer-readable device including processor-executable instructions, the instructions automatically generating an additional pattern based on a reference pattern of a clothing product. A command for providing, when the commands are executed by the processor, the reference pattern image data for the first product is input by using the receiving unit; Determining a product classification of the first product based on the reference pattern image data; Obtaining pattern grading information according to the determined product classification from the memory; And, based on the reference pattern image data for the first product and the pattern grading information, it may be configured to generate additional pattern image data for the first product-the additional pattern has a different size from the reference pattern. .

The disclosed technology can have the following effects. However, since it does not mean that a specific embodiment should include all of the following effects or only the following effects, it should not be understood that the scope of the rights of the disclosed technology is limited thereby.

According to the method and apparatus for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention described above, a product classification of a corresponding reference pattern is determined based on the reference pattern and pattern grading information corresponding to the product classification is provided. By using it, additional patterns can be automatically generated and provided.

Therefore, it is possible to automatically generate an additional pattern for an additional size without error, regardless of the skill level or ability of the pattern company, if only the creation work for the reference pattern is performed. In addition, even when it is desired to generate additional patterns for a plurality of sizes, it is possible to generate patterns without a large increase in working time, and it is possible to improve market competitiveness for products by reducing management and manufacturing costs.

1 is a flowchart of a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention.
FIG. 2 is a detailed flowchart of a step of generating additional pattern image data of FIG. 1.
3 is an exemplary diagram of a pattern for a T-shirt.
4 is an exemplary diagram of essential components for a T-shirt.
5 is an exemplary diagram of a result of generating an additional pattern for a T-shirt.
6 is a conceptual diagram of a product classification determination model.
7 is a conceptual diagram of a component identification model.
8A is an exemplary diagram for movement of a curve included in a pattern.
8B shows an exemplary diagram of a curve movement according to the movement of one of two vertices.
9 is an exemplary diagram of an interface for input of a reference pattern.
10 is an exemplary diagram for a result of component analysis for an input reference pattern.
11A is an exemplary view of a reference pattern and an additional pattern result for the front plate of a T-shirt.
11B is an exemplary view of a reference pattern and an additional pattern result for the back plate of the T-shirt.
11C is an exemplary view of a reference pattern for a sleeve of a T-shirt and an additional pattern result.
12 is a block diagram showing the configuration of an apparatus for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention.

In the present invention, various modifications may be made and various embodiments may be provided, and specific embodiments will be illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to a specific embodiment, it is to be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. These terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. Should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this application. Does not.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate an overall understanding, the same reference numerals are used for the same elements in the drawings, and duplicate descriptions for the same elements are omitted.

As mentioned earlier, the production of additional patterns having a size different from the standard pattern for products such as clothing is usually done by hand based on the experience and intuition of the pattern company, so the skill level of the pattern company and the individual's ability are required. There is a problem in that the market competitiveness of the product may be weakened due to the absolute influence on the result, the possibility of error in the result, the work time is lengthened, the management cost is increased, and the manufacturing cost is also increased.

The method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is to solve the above problem, and determines the product classification of the reference pattern based on the reference pattern and corresponds to the product classification. An additional pattern can be automatically generated and provided using pattern grading information. That is, according to an embodiment of the present invention, unlike the conventional pattern production and additional pattern work for a product manually performed by the pattern company, the desired additional pattern work is increased or decreased easily and quickly based on the reference pattern. Can be produced automatically.

1 is a flowchart of a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention. Hereinafter, a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention will be described in more detail with reference to FIG. 1.

As shown in FIG. 1, in the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention, first, reference pattern image data for a first product is input (step 110). The reference pattern is generally generated by a pattern yarn, and may be stored in the form of image data. The image data may have various file formats. For example, various file formats may include png, jpg, and dxf formats, and may not be limited to specific types of image file formats.

According to an aspect, the image data of the reference pattern may be included in a computing device on which the method of automatically providing an additional pattern based on the reference pattern according to an embodiment of the present invention is executed, or may be input from a storage device directly connected, or According to an aspect, the method for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention may be input through a wireless or wired communication network from a user terminal located remotely and a computing device on which the method is executed.

9 is an exemplary diagram of an interface for input of a reference pattern. As illustrated in FIG. 9, inputting the reference pattern image data in the method for automatically providing an additional pattern based on the reference pattern according to an embodiment of the present invention (step 110) allows the user to By activating the selection area 910, the reference pattern image data to be subjected to the additional pattern operation may be selected in the selection window 920.

Referring to FIG. 1 again, a product classification of the first product may be determined based on the input reference pattern image data (step 120). That is, based on the input reference pattern image data, it may be determined whether the input reference pattern image data corresponds to a product belonging to which product classification.

In relation, clothing products may be first classified into categories including, for example, tops and bottoms, and for each category, tops may be classified into detailed products of long sleeves, short sleeves, and sleeveless, and bottoms are long pants and shorts. It can be classified into detailed products of Regarding, as described later, the pattern grading information required to generate an additional pattern based on a reference pattern may be different for a specific detailed product for each detailed product, and for a specific detailed product, it is different according to the category to which the product belongs. , It may be the same for different detailed products within the same category. Accordingly, in determining the product classification (step 120), it may be configured to determine at least one of a category and a detailed product.

Here, determining the product classification of the first product corresponding to the reference pattern image image (step 120) may be performed by a product classification determination model. 6 is a conceptual diagram of a product classification determination model. As shown in FIG. 6, the product classification determination model 610 may be generated by training an artificial neural network based on a plurality of training data each including reference pattern image data as input and product classification as output. . That is, the artificial neural network may provide a plurality of reference pattern image images already known for product classification as a training set, and the artificial neural network may learn a correlation between the reference pattern image image and the product classification accordingly. The training process of such an artificial neural network may be performed by a device separate from the computing device on which the method of automatically providing an additional pattern based on the reference pattern according to an embodiment of the present invention is performed, or by the same computing device. May be. In addition, the generated product classification determination model 610 may also be stored in a storage device of a computing device in which a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is performed, or a separate computing It may be configured to exist in the device and send and receive information through a communication network.

According to the use of the product classification determination model 610, the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is an input criterion without receiving separate product classification information from a user. Product classification of pattern image data can be determined, thereby increasing user convenience.

Referring back to FIG. 1, based on the determined product classification, pattern grading information necessary for additional pattern work may be obtained from a database using a reference pattern according to the product classification (step 130). Table 1 below is an exemplary diagram of pattern grading information.

In order to automatically generate an additional pattern based on the reference pattern, there is information required for each product classification. According to an aspect, as shown in Table 1, the pattern grading information may include at least one of product classification information, information on essential components according to product classification, and information on the number of essential components. have.

First, in relation to the classification of products as described above, the product classification information may include at least one of category information and detailed product information. As also shown in Table 1, since the essential component may vary according to a detailed product or a category, the product classification information may be information about a category or information about a detailed product according to the determined detailed product. For example, if the category is "Bottom", the required components are the same regardless of whether the detailed product is "long pants" or "shorts", but if the category is "top", the detailed product is "long sleeve" or In the case of "short sleeves" and "sleeveless", the essential components may be different. As shown in Table 1, category information may include tops and bottoms, and detailed product information may include long sleeves, short sleeves, sleeveless, long pants, and shorts.

Here, the essential components represent numerical measurement items essential for generating a pattern for the product classification. In order to create a pattern for each product, numerical items that must be determined for each product may be different. According to one aspect, as shown in Table 1, for "long sleeve" and "short sleeve", "1. Neck width 2. Shoulder width 3. Front total length 4. Chest width 5. Hem width 6. Sleeve hem width 7. It may be necessary to determine the nine figures of "Sleeve Width 8. Sleeve Total Length 9. Back Panel Total Length". In addition, for "sleeveless", it is necessary to determine the 7 figures of "1. Neck width 2. Shoulder width 3. Total length of front panel 4. Chest width 5. Hem width 6. Sleeve width 7. Total length of back panel" I can. In addition, for "Bottom" including "Long Pants" and "Shorts", 6 types of "1. Waist width 2. Hip width 3. Thigh width 4. Rise height 5. Bottom hem width of pants 6. Total length of pants" You may need to decide on the numbers.

3 is an exemplary diagram of a pattern for a T-shirt. Among the above-described product categories, for example, if a T-shirt such as "long sleeve" and "short sleeve" is illustrated, as shown in FIG. 3, the pattern of three sheets including the front plate 3a, the back plate 3b, and the sleeve 3c May be required. Here, since the sleeve 3c cuts both sides in the same pattern, only one pattern piece is required, and the sleeve is folded in half so that it is sewn into the armhole area of the front plate and the back plate, that is, the connecting part of the arm. However, depending on the clothing design, different patterns may exist for both arms, and an additional pattern operation for four reference patterns may be performed for the pattern of this design.

4 is an exemplary diagram of essential components for a T-shirt. As shown in FIG. 3, when a T-shirt such as "long sleeve" and "short sleeve" is illustrated among the product categories, the T-shirt is "1. Neck width 2. Shoulder width 3. Front total length 4. Chest width 5. Bottom width 6 Sleeve hem width 7. Sleeve width 8. Sleeve total length 9. Total length of the back panel" can include 9 figures as essential components, and the standard pattern of the T-shirt is "1. Neck width 2. Shoulder width 3." Total length of the front panel 4. Chest width 5. Hem width 6. Sleeve hem width 7. Sleeve width 8. Sleeve total length 9. Rear panel total length". Table 2 below is an exemplary view of information on essential components and dimensions of the T-shirt of FIG. 4.

As described above, for an additional pattern to the reference pattern, information on the corresponding product classification and information on essential components for each product classification are required. Pattern grading information including such information may be predefined and stored in a database. Here, the database may be stored in a memory of a computing device in which the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is performed, or stored in a separate device through a wireless or wired communication network. It can also be configured to exchange information.

On the other hand, according to one aspect, the pattern grading information includes priority information for the vertex movement processing of essential components, whether a connecting line connecting any two vertices among the vertices used as a measurement criterion for essential components is a straight line or a curved line. It may further include at least one of connection line type information for. Priority information and connection line type information will be described later in this specification.

Referring back to FIG. 1, the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is, afterwards, to a first product based on reference pattern image data and pattern grading information for a first product. It is possible to generate additional pattern image data for (step 140). Here, the additional pattern may be a pattern having a size different from that of the reference pattern. For example, apparel makers can create patterns for five products: long sleeves, short sleeves, sleeveless, long pants, and shorts, and small (S size), medium (M size) and large (L size) for standard patterns and additional patterns. You can work on patterns for size). For example, when a pattern for a medium size produced by a pattern company as a reference pattern is input as input reference pattern image data, a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is Determine which product classification the image data is, acquire pattern grading information including information on essential components according to the product classification, and then perform additional pattern work for, for example, small size or large size based on these Can be performed automatically.

FIG. 2 is a detailed flowchart of a step of generating additional pattern image data of FIG. 1. As shown in FIG. 2, in the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention, generating the additional pattern image data (step 140) is first performed in the reference pattern image data. Parts corresponding to the essential components according to the corresponding product classification can be identified in step 141.

10 is an exemplary diagram for a result of component analysis for an input reference pattern. As illustrated in FIG. 10, when a T-shirt among a plurality of product classifications is described as an example, a product classification as a T-shirt in a previous step is determined based on the input reference pattern image data (step 120), and pattern grading information corresponding thereto Was acquired (step 130), the input reference pattern image data is "1. Neck width 2. Shoulder width 3. Front panel total length 4. Chest width 5. Hem width 6. Sleeve hem width 7. Sleeve width 8. Sleeve total It is possible that information has been obtained that the nine essential components of "Captain 9. Back Panel Total Badge" exist. In the identification step of the part corresponding to the essential component (step 141), the parts corresponding to the essential components in the reference pattern image data 1040 of the front panel of the T-shirt are respectively identified (e.g., neck width, shoulder Width, total length of front panel, chest width, hem width) can be done. In addition, portions corresponding to the essential elements in the reference pattern image data 1050 of the sleeve may be identified (eg, sleeve hem width, sleeve width, sleeve total length). In addition, portions corresponding to the essential elements in the reference pattern image data 1060 of the back plate may be identified (eg, neck width, shoulder width, total length of the back plate, chest width, and hem width).

On the other hand, each essential component includes two vertices that are the measurement criteria (for example, a first vertex located on the left or upper side of the pattern and a second vertex located on the right or lower side of the pattern in each essential component) In addition, a pattern for fabricating clothes may be formed by connecting lines connecting at least two of the vertices of the plurality of essential components. According to one aspect, the step of identifying a part corresponding to an essential component (step 141) includes information on whether any of the plurality of vertices of the essential components are connected to each other, and whether the connected connection line is a straight line or a curved line. Can be configured to determine. Referring to FIG. 10, the connection lines may be curved lines 1041, 1051, 1061 or straight lines 1043, 1053, 1063.

For example, information that the first vertex of the chest width and the first vertex of the hem width are connected to each other and the connecting line is a straight line, or information that the first vertex of the shoulder width and the first vertex of the chest width are connected to each other and the connecting line is curved May be obtained by image processing or analysis of the input reference pattern image data. According to another aspect, as described above, the pattern grading information may include connection line type information, and the connection line type information is information on whether any two vertices are connected among vertices that are measurement criteria of a plurality of essential components. , It may include at least one of information on whether a connection line connecting the vertices is a straight line or a curved line. According to an aspect, the above information may be further used to identify a part corresponding to the essential component.

Meanwhile, identifying a part corresponding to the essential component (step 141) may be performed by the component identification model. 7 is a conceptual diagram of a component identification model. As shown in FIG. 7, the component identification model 710 trains an artificial neural network based on a plurality of training data each including at least a part of the reference pattern image data as an input and a corresponding essential component as an output. It may be created by doing. In other words, by providing a plurality of reference pattern image images that already know the essential components corresponding to the artificial neural network as a training set, the association between a part of the reference pattern image image and the corresponding essential components to the artificial neural network Can be learned. The training process of such an artificial neural network may be performed by a device separate from the computing device on which the method of automatically providing an additional pattern based on the reference pattern according to an embodiment of the present invention is performed, or by the same computing device. May be. In addition, the generated component identification model 710 may also be stored in a storage device of a computing device in which a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is performed, or a separate computing It may be configured to exist in the device and send and receive information through a communication network.

By using the component identification model 710, the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention directly corresponds to a specific part in the image data of the reference pattern input by the user. The user's convenience can be increased because it is possible to determine which essential component each part in the input reference pattern image data corresponds to without being inputted as an essential component.

Meanwhile, referring again to FIG. 10, when partial identification of a corresponding essential component for the input reference pattern image image (step 141) is completed, an analysis result including the identification result may be output so that the user can recognize it. . Here, the user may be presented with information 1010 on the determined product classification, and if the classification is incorrect, the user may change it directly. On the other hand, through the selection area 1020 for the size for which the additional pattern is to be generated, the user can decide whether to perform grading for all sizes or, for example, only small, medium, and large. I can. In the change value setting area 1030, a change amount for increasing or decreasing a value for each size may be set.

Referring to FIG. 2 again, generating additional pattern image data (step 140) may move vertices serving as measurement criteria for each of the identified essential components after identification of the corresponding essential component (step 143). . That is, the vertices serving as the measurement reference may be moved to increase the value of each of the identified essential elements, or the vertices serving as the measurement reference may be moved to decrease the value of each of the identified essential elements.

5 is an exemplary diagram of a result of generating an additional pattern for a T-shirt. As shown in FIG. 5, each essential component is composed of two or more vertices, and the size can be increased or decreased by sequentially moving one vertex of the essential component. As shown in FIG. 5, for example, when describing based on the additional pattern work for the reference pattern of the T-shirt, the addition of the L size based on the pattern 5b for the M size through the same procedure as 5a of FIG. 5 The pattern (5c) can be created. On the other hand, as shown in 5A of FIG. 5, priority may exist for the movement processing of vertices, which is a measurement standard of an essential component.

For example, for the reference pattern of the front panel, measure the required components in the order of "1) Neck width → 2) Shoulder width → 3) Chest width → 4) Hem width → 5) Neck height → 6) Total length of the front panel. Reference vertices can be moved. Here, "neck height" is a line that connects at a right angle from an essential component representing "neck width" (41 in FIG. 4) to a point attached to the neck of "front plate total length" (upper vertex in 43 in FIG. 4) Can indicate the length.

Next, for the reference pattern of the back panel, the vertices, which are the measurement criteria of essential components, can be moved in the order of "1) neck width → 2) shoulder width → 3) chest width → 4) hem width → 5) total length of the back panel. I can.

In addition, for the reference pattern of the sleeve, the vertices, which are the measurement criteria of essential components, are moved in the order of "1) sleeve width → 2) sleeve hem width → 3) total sleeve length → 4) half armhole length. I can make it.

According to an aspect, the above-described pattern grading information further includes priority information for the vertex movement processing of essential components, and the step of moving the vertices (step 143) includes priority information included in the pattern grading information. Based on the priority, it may be configured to first move the vertices, which are the measurement criteria of the preceding essential component.

On the other hand, for example, when it is said that the value of each essential component needs to increase by 1 cm in order to change from M size to L size, the result of the L size addition pattern work generated based on the reference pattern of M size is shown in FIG. same. For example, for four essential components of neck width, shoulder width, chest width, and hem width, the vertices that are the measurement criteria for each essential component are moved 0.5 cm from the first vertex to the left, and the second vertices are moved to the right. You can increase the value of the essential component by 0.5 cm each by moving it by 0.5 cm. Furthermore, for both the height of the neck and the total length of the front plate, the y-coordinates can be increased by 1 cm by moving the vertices as the measurement reference downward. According to one aspect, the "front gun length", which is a prerequisite for grading, and the "gun length" for calculating the number of clothes, may have different methods of calculating the length, and the "gun length" for grading is 1 cm. When increasing, the lower vertex of the "front gun length (43 in Fig. 4)" is moved 1 cm downward, and the lower vertex of the "neck height" and the upper vertex of the "front gun length" is also 1 cm downward. By moving, it is possible to increase the "firearm length" by 1 cm as a result, but keep the "front gun length" unchanged.

Referring to FIG. 2 again, generating additional pattern image data (step 140) may connect at least two of the moved vertices after movement of the vertices, which are measurement criteria for each of the essential components (step 145). . As mentioned in the partial identification of the corresponding essential component for the previously input reference pattern image image (step 141), which two of the vertices that are the measurement criteria of the essential components are connected, and the connected vertex Information on whether this is a straight line or a curved line may be obtained through analysis of the reference pattern image data, or may be provided by being included in the pattern grading information.

According to one aspect, if the connection line type information is determined to be a straight line, according to the connection line type information on whether the connection line connecting any two vertices is a straight line or a curved line among the vertices used as a measurement standard included in the pattern grading information, In the step of connecting at least two of the moved vertices (step 145), at least two of the moved vertices as a target may be connected in a straight line. For example, as shown in FIG. 5, the first vertex of the chest width and the first vertex of the hem width may be connected in a straight line.

According to one aspect, if it is determined that the connecting line connecting the two specific vertices is a curve according to the connecting line type information, the step of connecting at least two of the moved vertices (step 145) is included in the curve connecting the vertices before the movement. At least two of the moved vertices may be connected by moving the respective points. The pattern of the T-shirt as shown in FIG. 5 is, for example, a neckline connecting a first vertex and a second vertex of neck width, a first vertex of shoulder width and a first vertex of chest width, or a second vertex of shoulder width. The armhole area connecting the second vertex of the chest width and the chest width may be formed in a curved shape. In such a curved area, each point included in the curve before movement is moved between the vertices used as the measurement standard after movement in proportion to the distance relationship between the vertices used as the measurement standard before movement. The vertices, which are the later measurement criteria, can be connected in a curved form.

According to one aspect, the amount of movement for each point included in the curve is the ratio of the distance between the first vertex and the point included in the curve to the distance between the first vertex and the second vertex at both ends of the curve before movement. , After moving, it can be determined by applying the distance between the first and second vertices of both ends of the curve. In other words, when the point included in the curve before movement is I point, and the point where the I point included in the curve after movement is moved is I'point, among the points at both ends of the curve before movement, "the distance from the first vertex to the point I" Based on the ratio of "distance from point I to second vertex" of "distance from first vertex to point I'after moving" for "distance from point I to second vertex after moving" The location of the I'point can be determined to maintain the ratio.

Here, the distance between the first vertex and the second vertex and the distance between the first vertex and the point included in the curve may be determined based on one of an x coordinate value difference and a y coordinate value difference. Since the first vertex and the second vertex are connected by a curved line, the I point is not located on a straight line passing through the first and second vertices. Therefore, for example, based on the x-coordinate difference, the distance between the first vertex and the second vertex may be determined as the difference in the x-coordinate value between both vertices, and the distance between the first vertex and the point I included in the curve is positive It can be determined as a difference in x-coordinate values between points. According to another aspect, the ratio of the two distances may be determined based on the y-coordinate difference. Here, when it is determined based on the x coordinate of the first vertex (A) x-coordinate value and the second vertex I ₁ point between the x-coordinate of the (B) of x as shown in Figure 8b (a) When the coordinates are not located, the distance between the first vertex (A) and the second vertex (B) may be determined by the difference between the y coordinate values of the two vertices, and the distance between the first vertex (A) and the point I ₁ is zero. It is determined by the difference in the y-coordinate value between 1 vertex (A) and ₁ point, so that the ratio between the two distances can be determined. On the other hand, as shown in Fig.'S 8b (b), when it is determined based on the y coordinate the first vertex (A) of the y-coordinate value and a second peak (B) of the y-coordinate between the values I y of the _two points When the coordinates are not located, the distance between the first vertex (A) and the second vertex (B) may be determined as the difference between the x coordinate values of the two vertices, and the distance between the first vertex and the point I ₂ is the first vertex ( It is determined by the difference in the x-coordinate value between A) and I ₂ points, so that the ratio between the two distances can be determined. Unlike FIG. 8B, when both the x and y coordinate values of the I point are located within the x coordinate and y coordinate values of each of the first vertex (A) and the second vertex (B), the distance based on the y coordinate It may be configured to use an arbitrary ratio of the ratio of the x-coordinate and the ratio of the distance based on the x-coordinate, or a ratio to the difference of any one predetermined coordinate value.

When the ratio is determined, the amount of movement from the point I to the point I'can be determined for the x coordinate and the y coordinate, respectively. That is, a value obtained by multiplying the x-coordinate value difference from the first vertex after movement to the second vertex after movement by the ratio may be the x-coordinate difference value between the first vertex and the point I', and from the first vertex after movement A value obtained by multiplying the y-coordinate value difference to the second vertex after movement by the ratio may be a y-coordinate difference value between the first vertex and the point I′.

8A is an exemplary diagram for movement of a curve included in a pattern. As shown in FIG. 8A, the first graph of FIG. 8A (a) may represent the coordinates of an armhole curve before movement. Subsequently, in the second graph of (b) of FIG. 8A, when one cell on the graph is regarded as 0.5 cm, points a and b can be moved to the right by 0.5 cm. Here, points included in the middle curve connecting points a and b may also move to the right at the same interval ratio as the ratio when connecting points a and b. In the third graph of (c) of FIG. 8A, for example, in order to enlarge the size M to the size L, the coordinates of points a'and b', which are finally moved by 0.5 cm, are displayed.

In this way, the area of the neckline can also be moved based on the end point in consideration of the ratio. On the other hand, except when moving both vertices, which are the movement criteria, one point is fixed and only the other vertex is moved, the points in the curve can be moved in a similar manner. In the case of moving the second vertex while the first vertex is fixed, the distance from the first vertex after the movement as shown above to the point I'after the movement is the I'of the point I by itself because the first vertex did not move. It can be the amount of movement to a point.

More specifically, FIG. 8B shows an exemplary diagram of a curve movement according to the movement of one of two vertices. In relation to this, even when both vertices are moved as a result, the following process may be applied by configuring to move one of the two vertices first and then move the other vertex.

As shown in (a) and (b) of FIG. 8B, it is assumed that the curve connecting the first vertex (A) and the second vertex (B) is an armhole. This armhole curve is composed of vertices A and B, which are both end points, and a plurality of points that form curves between these two end points. According to one aspect, when grading this armhole curve, point A can only move, not point B. That is, point A, one of the two end points, is fixed, and only point B, the other point, can be moved. According to another aspect, there may be a component in which both vertices of both ends are moved, but in fact, only one point is moved at one moment and then the other point may be configured to move, so these components are also the same as described below. You can use an equation.

Information of a, b, and i used as subscripts in the following equations is as follows.

-a, b, i means the index of each point A, B, I.

-Point A is the base point (one of the end points) that does not move during grading.

-Point B means before the reference point (the other one of both ends) is moved during grading.

-Point B'represents point B after movement.

-Point I represents before all points between the two end points (the point B moves together by the moving rate) are moved.

-Point I'represents the point I after 　 move.

The curve grading method is to move all points in between at the same rate by the same rate when one point of both ends is moved. In other words,

1. Calculate the relative position (ratio) of a point between both ends of the original curve before the change.

2. If the point is applied between the changed curves by using the ratio calculated in step 1, the point is placed at a relative position (ratio) on the changed curve in the same way as the original curve.

3. Here, there is a condition of the axis that is the reference when calculating the relative position in No. 1. You can have the points between both endpoints calculate the ratio with an axis that includes both ends. For example, in (a) of Figure 8b points A and between B I due to _one point goes out between the points at both ends of the x-axis can not be the basis for the x axis is the ratio calculated, and in this case the y-axis ratio calculation Can be used as the reference axis of. On the contrary, in (b) of FIG. 8B, the y-axis cannot be used as the basis for calculating the ratio because the point I ₂ between the point A and the point B deviates from the point at both ends with respect to the y-axis. Can be used as an axis.

That is, in calculating the relative positions of the points between the end points, there can be two axes, and the following equation (1) and the ratio of the distance between the end points and the distance to the point I are calculated based on the x-axis. Any one of the two equations of Equation 2 below for calculating the ratio of the distance between the end points and the distance to the point I based on the y-axis may be used.

In the above Equation 1 and Equation 2, x _i is the x coordinate of the I point, x _b 'is B' x coordinate of the point, x _a is the x-coordinate of a point A, x _b is the x coordinate of the point B, y _i Is the x coordinate of point I, y _b'is the y coordinate of point B', y _a is the y coordinate of point A, y _b is the y coordinate of point B, and X _i'is the x coordinate from point A to point I' The distance, Y _i ', represents the y coordinate distance from the point A to the point I'.

Referring to Equation 1, it can be seen that dividing by the x-axis reference distance between points A and B, and referring to Equation 2, dividing by the y-axis reference distance between points A and B. For example, looking specifically with respect to the left equation related to X _i 'in equation (1),

Point I', which is a point between the end points, is the x-coordinate distance to move from point A (X _i ') = the relative position (ratio) of the existing X _{i to} the existing curve (or straight line) * the length of the changed curve (X _b '- X _a )

X _i '= (X _i -X _a ) / (X _b -X _a ) * (X _b' -X _a )

= (X _i -X _a ) * (X _b '-X _a ) / (X _b -X _a )

= (X _i X _b '-X _i X _a -X _a X _b ' + X _a X _a ) / (X _b -X _a )

As shown, the left equation of Equation 1 can be derived. The equation on the right side of Equation 1 is about the y-coordinate distance (Y _i ') that a point I'between the end points will move from point A, so the length of the changed curve is changed to (Y _b' -Y _a ). Other than that, it is the same as the left equation of Equation 1.

In the case of Equation 2, since it is based on the y-axis, the relative position (ratio) of the existing X _i compared to the existing curve (or straight line) is changed to (Y _i -Y _a ) / (Y _b -Y _a ), respectively. It is the same as the left and right sides of Equation 1.

For example, when exemplifying the amount of coordinate movement based on the x-axis only,

Assuming that the x coordinates of a, b, and i are a = 10, b = 20, and i = 15, respectively,

If you move the x coordinate of b to the right by 10, b = 30 and the position of i should be 20 according to the ratio.

Substituting these coordinate values into Equation 1 above,

X _i '= (X _i (15)-X _a (10)) / (X _b (20)-X _a (10)) * (X _b '(30)-X _a (10))

= (X _i (15)-X _a (10)) * (X _b '(30)-X _a (10)) / (X _b (20)-X _a (10))

= (X _i (15)X _b '(30)-X _i (15)X _a (10) -X _a (10)X _b '(30) + X _a (10)X _a (10)) / ( X _b (20)-X _a (10))

= (15*30-15*10-10*30 + 10*10) / (20-10)

= (450-150-300 + 100) / 10

= 100/10

= 10

Same as

That is, the bottom line is X _i 'is 10, this value is therefore means the x-coordinate distance from the i point is changed from X _a real x-coordinate of the modified i point is X _i' through the + X _a, x _i '(10 ) + X _a (10) = 20, and the result can be derived according to the previous assumption.

Referring again to FIG. 1, in the method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention, the generated additional pattern image data may be provided in a dxf format file (step 150). . However, the provided additional pattern image data is not limited to a dxf format file and may be provided in an arbitrary image format.

In addition, before outputting a file, the work result may be displayed through a display or printout so that the user can recognize it. 11A is an exemplary diagram of a reference pattern for the front panel of a T-shirt and an additional pattern result, and as shown in FIG. 11A, the additional pattern result is for each size of the front panel pattern of Small, Medium, and Large, neck width (neck ), shoulder width, hem width, total height of the front panel, essential components of the chest width, and vertices that are the measurement criteria.

11B is an exemplary diagram of a reference pattern for the back plate of a T-shirt and an additional pattern result, and as shown in FIG. 11B, the additional pattern result is for each size of the small, medium, and large back plate pattern, neck width (neck ), shoulder width, hem width, total height of the back plate, essential components of chest width, and vertices that are the measurement criteria.

11C is an exemplary diagram of a reference pattern for a sleeve of a T-shirt and an additional pattern result, and as shown in FIG. 11C, the additional pattern result is for each size of small, medium, and large sleeve pattern, the sleeve hem width ( hem), the total length of the sleeve, the width of the sleeve, and the vertices to which the measurement is based may be indicated.

12 is a block diagram showing the configuration of an apparatus for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention. As shown in FIG. 12, an apparatus 1200 for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention may include a receiver 1210, a processor 1220, and a memory 1230. have. Here, the processor 1220 receives reference pattern image data for the first product using the receiving unit 1210, determines a product classification of the first product based on the reference pattern image data, and determines a pattern according to the determined product classification. It may be configured to obtain grading information from the memory 1230 and generate additional pattern image data for the first product based on the reference pattern image data and the pattern grading information for the first product. The additional pattern may be a pattern having a size different from the reference pattern.

Here, the receiving unit 1210 is a wireless or wired communication for receiving reference pattern image data input from a separate computing device from the apparatus 1200 for automatically providing an additional pattern based on the reference pattern according to an embodiment of the present invention. It may be a unit, or may be an interface means for allowing a user to select any one of the reference pattern image data stored in the memory 1230 in the device 1200 for automatically providing an additional pattern based on the reference pattern, It may be an input device for reading the reference pattern image data stored in the storage medium. In addition, any means for inputting the reference pattern image data may operate as the receiving unit 1210.

In addition, although it is shown in FIG. 12 that the memory 1230 is included in the device 1200 for automatically providing an additional pattern based on the reference pattern, it is used together with the memory 1230 or by replacing the memory 1230. Data may be stored on a storage medium or server. The database including the pattern grading information may be a storage medium outside the memory 1230 or the device 1200 or an independent server.

The specific operation of the apparatus 1200 for automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention is a method of automatically providing an additional pattern based on a reference pattern according to an embodiment of the present invention described above. It may correspond to at least some.

Meanwhile, the method according to the present invention described above may be implemented as a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording media in which data that can be decoded by a computer system is stored. For example, there may be read only memory (ROM), random access memory (RAM), magnetic tape, magnetic disk, flash memory, optical data storage device, and the like. In addition, the computer-readable recording medium can be distributed to a computer system connected through a computer communication network, and stored and executed as code that can be read in a distributed manner.

Although described above with reference to the drawings and examples, it does not mean that the protection scope of the present invention is limited by the drawings or examples, and those skilled in the art It will be appreciated that various modifications and changes can be made to the present invention without departing from the spirit and scope.

Specifically, the described features may be implemented in digital electronic circuitry, or computer hardware, firmware, or combinations thereof. Features may be executed in a computer program product implemented in storage in a machine-readable storage device, for example, for execution by a programmable processor. And the features can be performed by a programmable processor executing a program of directives to perform the functions of the described embodiments by operating on input data and generating output. The described features include at least one programmable processor, at least one input device, and at least one output device coupled to receive data and directives from the data storage system and to transmit data and directives to the data storage system. It can be executed within one or more computer programs that can be executed on a programmable system including. A computer program includes a set of directives that can be used directly or indirectly within a computer to perform a specific action on a given result. Computer programs are written in any form of programming language, including compiled or interpreted languages, and included as modules, elements, subroutines, or other units suitable for use in other computer environments, or as independently operable programs. It can be used in any form.

Suitable processors for execution of a program of directives include, for example, both general and special purpose microprocessors, and either a single processor or multiple processors of a different type of computer. Storage devices suitable for implementing computer program directives and data implementing the described features are, for example, semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, magnetic devices such as internal hard disks and removable disks. Devices, magneto-optical disks, and all types of non-volatile memory including CD-ROM and DVD-ROM disks. The processor and memory may be integrated within application-specific integrated circuits (ASICs) or added by ASICs.

The present invention described above is described on the basis of a series of functional blocks, but is not limited by the above-described embodiments and the accompanying drawings, and various substitutions, modifications and changes within the scope not departing from the technical spirit of the present invention It will be apparent to those of ordinary skill in the art to which this invention pertains.

Combinations of the above-described embodiments are not limited to the above-described embodiments, and various types of combinations as well as the above-described embodiments may be provided according to implementation and/or need.

In the above-described embodiments, the methods are described on the basis of a flowchart as a series of steps or blocks, but the present invention is not limited to the order of steps, and certain steps may occur in a different order or concurrently with those described above. have. In addition, those of ordinary skill in the art understand that the steps shown in the flowchart are not exclusive, other steps are included, or one or more steps in the flowchart may be deleted without affecting the scope of the present invention. You can understand.

The above-described embodiments include examples of various aspects. Although not all possible combinations for representing the various aspects can be described, those of ordinary skill in the art will recognize that other combinations are possible. Accordingly, the present invention will be said to include all other replacements, modifications and changes falling within the scope of the following claims.

Claims (1)

A method according to the description of the present invention.

Images