JP2012194782A - Server for outfit simulation, system for automatically creating image data of clothes or the like for outfit simulation, and method for automatically creating image data of clothes or the like for outfit simulation - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the great labor, time and cost of creating image data of clothes, shoes, accessories, hats, etc. to be used in outfit simulations and allow image data of clothes, shoes, accessories, hats, etc. that is created for other purposes to be used in outfit simulations.SOLUTION: By processing image data of clothes, shoes, accessories, hats, etc. to identify the shapes of the clothes, shoes, accessories, hats, etc. in the image data, the categories of the items are determined and the items are associated with various template data. The various template data extracted in the association process is processed to be combined and the image data is processed at the same time, and then these data are processed to be combined. Then, the combined data and a model image for outfit simulations are combined by attaching the combined data to the model image.

Description

  The present invention relates to a dress-up simulation server in a dress-up simulation system that can be operated by a terminal device via a communication network such as the Internet, an automatic generation system for image data such as clothes for dress-up simulation, and a dress-up simulation The present invention relates to a method for automatically generating image data such as clothes.

  In recent years, based on model images of people, pets, etc., fashion has been simulated by combining images of favorite clothing, footwear, accessories, hats, etc., and images of hairstyles, etc. with the model images. Yes. In a system that performs this simulation, in addition to model images, images of clothes, footwear, accessories, hats, etc. and images of model hairstyles are generally stored and stored in advance as image data in a server.

  However, since new products such as clothes, footwear, accessories, and hats are released every season, it is very time-consuming, time-consuming and expensive to take these pictures and store them as image data. First, when creating image data from photos, the shape of clothes, footwear, accessories, hats, etc. can only be used if they match the shape of the model, so it takes time, money, and money to shoot photos used as image data. It was hanging. In addition, since the dress-up simulation is often provided via the Internet or the like, it is image data that can be used in the simulation, and even if it is displayed on the display of the terminal device, it is easy to see. Since it was necessary to perform processing in consideration, it took time and money.

  As described above, since it takes a lot of time and money to create image data such as clothes for changing clothes simulation, it is not easy for merchandise distributors and manufacturers to use the changing clothes simulation system. . Furthermore, the number of new products such as clothes, footwear, accessories, and hats that have been announced at present is enormous, and it is almost impossible to process and use all of these products in the manner described above. It was.

  On the other hand, if a general user who is a user of a dress-up simulation can simulate a wide range of products such as clothes, footwear, accessories, and hats, it will be useful for purchasing products.

  Therefore, the applicant of the present application has reduced the labor and time and cost of creating image data such as clothes, footwear, accessories, and hats for dress-up simulation, and has not been made for dress-up simulation originally. The present invention has been developed in which image data of accessories, hats, etc. can also be used for dress-up simulation.

  As a prior art, a simulation image generation system and apparatus capable of changing the hair color, hairstyle, clothing, glasses, and other accessories of a human image including a face portion imaged by a terminal device equipped with an imaging means have been proposed. (Patent Document 1).

JP 2004-318591 A

  The problem to be solved by the invention is that it reduces the labor, time and cost in creating image data for clothes, footwear, accessories, hats, etc. for dress-up simulation, and was not originally made for dress-up simulation. Image data such as clothes, footwear, accessories, and hats can also be used for the dress-up simulation.

The present invention is a dress-up simulation server in a dress-up simulation for composing and displaying image data of clothes, bags, accessories, footwear, etc. on a model image, and image data such as photographs including clothes, bags, accessories, footwear, etc. , Shape recognition processing means for recognizing the shape of clothes, heels, accessories, footwear, etc. displayed in the image data such as photographs, and shapes of clothes, heels, accessories, footwear, etc. recognized by the shape recognition processing means. The data is associated with the template data of the shape of clothes, bags, accessories, footwear, etc. stored and stored in advance, and the clothes, bags, accessories, footwear, etc. recognized by the shape recognition processing means are clothes, Category determination processing means for determining whether the product is included in any category such as bags, accessories, footwear, etc., and the category determination processing Within the categories of clothing, shoes, accessories, footwear, etc., judged by the means, the detail recognition processing means for recognizing the shape and size, color, material, etc. of these details, and the detail recognition processing means. The detail data such as the shape and size, color, and material of the details are associated with the template data such as the shape, size, and color of the details stored and stored in advance and recognized by the detail recognition processing means. Detail determination processing means for determining whether the shape and size, color, material, etc. of the detail matches or approximates any template data, and the clothing and bag determined by the category determination processing means and the detail determination processing means. , Template data of accessories, footwear, etc., and template data such as shapes and dimensions of these details, colors, materials, etc. Template data extraction processing means for processing, template data composition processing means for synthesizing the template data extracted by the template data extraction processing means, clothing from image data such as photographs including the clothes, bags, accessories, footwear, etc. Cutout processing means for cutting out only image data of a bag, accessory, footwear, etc., and image data of clothes, bags, accessories, footwear, etc. cut out by the cutout processing means are synthesized by the template data synthesis processing means. Morphing processing means for performing morphing processing to match the shape of the template data, and image data of clothes, bags, accessories, footwear, etc. morphed by the morphing processing means are combined by the template data combining processing means. A first image data pasting processing means for pasting the image data, and image data of clothes, bags, accessories, footwear, etc. pasted by the first image data pasting processing means; Second image data pasting processing means for performing pasting processing;
It is characterized by comprising.

  The present invention also provides a terminal for an automatic generation system for image data such as clothes for simulation of dressing, comprising a server for simulation of dressing connected to a communication network and one or a plurality of terminal devices connectable to the communication network. When there is a simulation program delivery request from the device to the dress-up simulation server, the dress-up simulation server delivers the dress-up simulation program to the terminal device, and the dress-up simulation program When the user starts up on the terminal device and drags and drops the image data such as clothing photos onto the model image for simulation, the image data such as clothing, clothing, accessories, footwear, etc. Photo etc. Shape recognition processing means for recognizing the shape of clothes, heels, accessories, footwear, etc. displayed in the image data, shape data of clothes, heels, accessories, footwear, etc. recognized by the shape recognition processing means, and storage and storage in advance The clothing, bag, accessory, footwear, etc. recognized by the shape recognition processing means are associated with the template data of the shape of the clothing, bag, accessory, footwear, etc. Category determination processing means for determining whether the category is included, and within the categories of clothes, shoes, accessories, footwear, etc. determined by the category determination processing means, Detail recognition processing means for recognizing dimensions, colors, materials, etc., and the shape and size of these details recognized by the detail recognition processing means, color, Detailed data such as materials are associated with template data such as detailed shape and dimensions, colors, and materials stored and stored in advance, and the detailed shape and dimensions recognized by the detail recognition processing means, color, Detailed judgment processing means for judging whether or not the material etc. matches or approximates any template data, and templates of shapes such as clothes, bags, accessories, footwear, etc. judged by the category judgment processing means and the detailed judgment processing means Template data extraction processing means for extracting data and template data such as the shape and size of these details, colors, materials, etc., and template data composition processing means for synthesizing the template data extracted by the template data extraction processing means, Clothing from image data such as photographs including clothing, bags, accessories, footwear, etc. Crop processing means for cutting out only image data of heels, bags, accessories, footwear, etc., and image data of clothes, bags, accessories, footwear, etc. cut out by the cutout processing means are combined by the template data combining processing means Morphing processing means for performing a morphing process that matches the shape of the template data that has been processed, and image data of clothes, bags, accessories, footwear, etc. that have been morphed by the morphing processing means are synthesized by the template data synthesis processing means. First image data pasting processing means for pasting to template data, and image data of clothes, bags, accessories, footwear, etc. pasted by the first image data pasting processing means, Second image data to be pasted to the image And Ri attached processing unit, characterized by comprising and a dress-up model image display means for displaying as a model image of the terminal device the image data generated by the second image data pasting processing means.

  Further, the present invention is an automatic generation method of image data such as clothes for simulation of dressing, comprising a dressing simulation server connected to a communication network and one or a plurality of terminal devices connectable to the communication network. When a simulation program delivery request is made from the terminal device to the dress-up simulation server, the dress-up simulation server delivers the dress-up simulation program to the terminal device, and the dress-up simulation. When the program is started on the terminal device and the user drags and drops the image data such as clothing photos onto the model image for the dress-up simulation, from the image data such as photos including clothing, bags, accessories, footwear, etc. , Such photos Shape recognition processing step for recognizing the shape of clothes, heels, accessories, footwear, etc. displayed in the image data, shape data of clothes, heels, accessories, footwear, etc. recognized by the shape recognition processing step, and storage and storage in advance The clothing, bag, accessory, footwear, etc. recognized by the shape recognition processing step is associated with the template data of the shape of the clothing, bag, accessory, footwear, etc. In the category determination processing step for determining whether the category is included, and in the categories of clothes, shoes, accessories, footwear, etc. determined by the category determination processing step, the shape of these details and Detail recognition processing step for recognizing dimensions, colors, materials, etc., and those recognized by the detail recognition processing step The detail data such as the shape and size of the details, color, and material are associated with the template data such as the shape and size, color, material, etc. of the detail stored and stored in advance, and are recognized by the detail recognition processing step. Detail determination processing step for determining whether the shape and size of detail, color, material, etc. match or approximate any template data, and the clothing, bag, and the like determined by the category determination processing step and the detail determination processing step. A template data extraction process step for extracting template data of the shape of accessories, footwear, etc. and template data such as the shape and dimensions of these details, colors, materials, etc., and the template data extracted by the template data extraction process step are combined. Template data composition processing step and the clothing A cutting process step for cutting out only image data such as clothes, bags, accessories, footwear, etc. from image data such as photographs including bags, accessories, footwear, etc., and clothes, bags, accessories cut out by the cutting processing step, Morphing processing step for performing morphing processing for matching image data of footwear etc. with the shape of the template data synthesized by the template data synthesizing processing step, clothing, bag, accessory, footwear morphed by the morphing processing step The first image data pasting process step for pasting image data such as the above onto the template data synthesized by the template data synthesizing process step and the first image data pasting process step. clothes A second image data pasting processing step for further pasting image data of the bag, accessory, footwear, etc. on the model image, and the image data generated by the second image data pasting processing step as a terminal device A model image display step for displaying as a model image.

The dressing simulation server, the dressing simulation clothing image automatic generation system, and the dressing simulation clothing image automatic generation method according to the present invention have the following effects.
It is possible to reduce the labor, time and cost required for creating image data of clothes, footwear, accessories, hats, etc. for changing clothes simulation. In addition, image data such as clothes, footwear, accessories, and hats that are not originally created for the dress-up simulation can be used for the dress-up simulation. Therefore, the willingness to purchase of general users who are users of the dress-up simulation is also improved.

FIG. 1 is an overall configuration diagram of a system for automatically generating image data such as clothes for changing clothes simulation according to the present embodiment. FIG. 2 is a diagram illustrating a dress-up simulation window on which a start button is displayed. FIG. 3 is a diagram illustrating a dress-up simulation window with the dress-up window opened. FIG. 4 is a diagram illustrating a dress-up simulation window with the dress-up window opened. FIG. 5 is a diagram showing a pattern of dress-up windows. (1) is when only the first window is displayed, (2) is when the first and second windows are displayed, (3) FIG. 4 is a diagram showing a case where first to third windows are displayed. FIG. 6 is a diagram showing a processing flow in the dress-up simulation server.

  First, the overall configuration of an automatic generation system for data such as clothes for simulation for changing clothes according to the present embodiment will be described with reference to FIG. As shown in FIG. 1, the automatic generation system 1 for clothing image for the dressing simulation includes a dressing simulation server 10 connected to a communication network 20 such as the Internet, a dedicated line, an intranet, and the like. It comprises one or a plurality of terminal devices 30 such as a desktop computer, a tablet computer, and a portable terminal that can be connected to the communication network 20. Here, the tablet computer is a portable personal computer that has a flat outer shape, a display on one surface, a display / input unit such as a touch panel, an audio output unit, and the like. Moreover, what is necessary is just to provide the display which can display an image as a portable terminal.

  Although not shown, the dress-up simulation server 10 includes a communication unit, a CPU, a database, and the like. The database stores and accumulates data serving as a template (base) for only shapes such as clothes, bags, accessories, and footwear. Specifically, in the case of clothes, there is template data of tops (upper garments) that are clothes worn on the upper body and bottoms (lower garments) that are clothes worn on the lower body. The tops template data includes cardigans, cut-and-sews, shirts, jackets, sweaters, tunics and other template data, and cardigans, cut-and-sews, shirts, jackets, jackets, sweaters, tunics, etc. are further classified according to their shapes. Template data is stored and accumulated. The bottoms template data includes template data such as pants, short pants, and skirts. Further, template data that is further classified into pants, short pants, skirts, and the like according to the shape thereof is stored and accumulated. The upper and lower clothes such as jumpsuits may be classified as tops (upper garments), or another classification may be provided.

  The template data described above is data on the overall shape of clothing, etc., but further data on the length of clothing, sleeve length, collar shape, material, etc., and shape data on heels, etc. are also used as template data. Stored and accumulated.

<How to use>
When a user accesses a homepage that employs the dress-up simulation system from the terminal device, the dress-up simulation server 10 that has received this distributes the dress-up simulation system program to the terminal device 30. Next, the terminal device 30 receiving this displays a dress-up simulation window (hereinafter referred to as a base window) as shown in FIG.

  As shown in FIGS. 2 to 4, the base window 100 is an item (image) for displaying images of various items (products) such as models, bags, accessories, and the like wearing clothes selected by a start button 110, search, and the like. Product) Image display column 120, Search column 130 that can be searched by various methods such as keyword, brand, type of male / female / child, category, price, color, etc., news, new arrival information, etc. are displayed. The head portion 140 is constituted.

  When the user clicks the start button 110, the dress-up window 200 displayed in FIGS. 3 to 5 is displayed as a separate window on the base window 100.

  Although the dress-up window 200 can be displayed in a plurality of patterns, three main patterns are shown in FIGS. The dress-up window 200 includes a first dress-up window 210, a second dress-up window 220, a third dress-up window 230, and the like, and only the first dress-up window 210 is shown in FIG. 5 (2), the first and second dress-up windows 210, 220 are displayed, and FIG. 5 (3), the first to third windows 210, 220, 230 are displayed. Yes.

  In the first window 210, an avatar display unit 211 on which an avatar (person model image) for performing a dress-up simulation is displayed, and an item on which an avatar (person model image) is worn (product) are displayed. An extension button 213 for opening the display unit 212 and the second dress-up window 220 is displayed. Also, an avatar switching button 214 for switching an avatar (a person model image) to a man (MAN) or a woman (WOMAN), a reset button 215 for resetting the avatar (a person model image) such as clothes, an avatar (a person model) A save button 216 for saving the wearing state of the image) is displayed.

  In the second dressing window 220, an item search button 221 for searching for a product, a reduction button 222 for closing the second dressing window 220 and displaying only the first dressing window 210, and a dressing window 200 are closed. Close button 223, coordinate button 224 consisting of two buttons, an item coordinate that coordinates an item (product) and an item coordinate that can refer to the total coordinate, and an item (product) that can be selected in the second dress-up window 220 And a selection button 225 for displaying an avatar model and background, an item (product) selected by the selection button 225, a display unit 226 for displaying a list of avatars (person model images) and backgrounds, and a favorite item (product). Favorites to display Item display unit 227 is displayed.

  The third dress-up window 230 is a window that is displayed when the item search button 221 of the second dress-up window 220 is clicked. A search part 231 and a search result display part 232 in which a plurality of search results are displayed. A close button 233 for closing the third dressing window 230 is displayed.

  The user searches for a desired item (product) in the search field 130 of the base window 100 and displays it in the item image display field 120. Next, the start button 110 displayed on the base window 100 is clicked. Then, the first and second dress-up windows 210 and 220 are displayed on the base window 100. 3 and 4 show a state in which the first to third dressing windows 210, 220, and 230 are opened. A user displays an item (product) such as clothes displayed on the item (product) image display field 120 or the display unit 226 of the base window 100 and an avatar (person) displayed on the avatar display unit 211 of the dress-up window 200 When dragging and dropping onto the model image), an item (product) such as the clothes is attached to the avatar (a model image of the person). At this time, in the case of an item (product) dragged and dropped from the item (product) image display field 120, the image of the item (product) is added to the list of items (products) displayed on the display unit 226. The When an item (product) such as clothes is to be removed from an avatar (a person's model image), the item such as clothes can be removed by drag and drop. The user can create a desired coordination by performing this operation. The display unit 226 is displayed separately for the item (product) currently selected, the item (product) selected recently, the recommended item (product), the new item (product), the ranking of the item (product), and the like. The This makes it easier for the user to identify the product, and thus facilitates coordination with the avatar (person's model image).

  Further, when the user moves the cursor to an item (product) worn by an avatar (a person's model image), a list of items (products) with different colors and patterns of the item (product) as shown in FIG. A small window 300 for displaying is displayed. When the user clicks an item (product) having a desired color or a different pattern from this item (product) list, the user is attached to an avatar (a person's model image).

<Processing on the dress-up simulation server>
A user displays image data such as desired tops from an item (product) listed in the item (product) image display unit 120 of the base window 100, and an avatar (displayed on the avatar display unit 211 in the dressing window 200). When dragging and dropping onto a human model image), the following processing is performed on the server.
First, image data such as dragged tops is analyzed.
Shape recognition processing for recognizing the shape of clothes, heels, accessories, footwear, etc. displayed in the image data of the tops is performed from the image data of the tops (S10). Next, the shape data recognized by the shape recognition process is associated with the template data of the shape of clothes, bags, accessories, footwear, etc. stored and stored in advance, and the shape recognized by the shape recognition process A category determination process for determining whether the data is included in any category such as clothes, bags, accessories, footwear, etc. is performed (S20).

  As a result of the category determination processing, if the image data of the tops or the like is determined to be, for example, tops image data, the shape and size of the details of the clothes that are the tops (shape type, clothes length, sleeves) The detail recognition processing for recognizing the color, material, etc. is performed (S30). And these details data recognized by the detail recognition process, and the shape and dimensions of the details stored and stored in advance (shape type, clothes length, sleeve length, collar shape, etc.), color, material A detail determination process is performed for associating with template data such as (fabric etc.) and determining which template data matches the detail data recognized by the detail recognition process (S40). At this time, if there is no matching template data, a detailed determination process for determining the most approximate template data is performed (S40). Note that data extracted from the image data of the photograph is stored and accumulated as new template data. Thus, by storing and storing new template data, the accuracy of the category determination process, the detail recognition process, and the detail determination process is improved.

  Next, template data of the shape of clothes, bags, accessories, footwear, etc. determined by the category determination process and the detail determination process, and the shape and dimensions of these details (shape type, clothes length, sleeve length, Template data such as collar shape, color, material, etc. is extracted (S50). Then, a template data synthesis process for synthesizing the template data extracted by the template data extraction process is performed (S60).

  Next, the tops image data is associated with the data such as wrinkles stored and accumulated in the template data, and it is determined that the tops displayed in the image data are wrinkled (template data and If it is determined that they match or approximate), image adjustment processing for thinning wrinkles or the like is performed (S70). Further, in order to unify the hue, brightness, and saturation of the image data, an image adjustment process for adjusting the hue, brightness, and saturation is performed (S70). Image adjustment processing is also performed to make the direction in which light hits the tops displayed in the image data constant (S70). When gradation is generated in the image data, an image adjustment process for leveling the color is performed (S70). In addition, if some of the clothing, etc. in the image data is missing (if it is not shown in the image) or if other modifications are required, copy other parts of the clothing, etc. displayed in the image data. An image adjustment process to be applied is performed (S70).

  After the image adjustment process described above, a process for cutting out image data such as clothes for cutting out only the tops of the image data is performed (S80). The tops image data subjected to the clipping process is subjected to a morphing process in order to match the shape of the template data (the shape of the simulator item) (S90). A first synthesis process is performed in which the image data (morphing process data) after the morphing process is pasted on tops template data that has already been extracted and synthesized (S100). A second synthesis process for pasting the top image data after the first pasting and synthesizing process to the model image is performed (S110).

<When users send image data of photos>
In the automatic generation system for image data such as clothes for changing clothes according to the present embodiment, it is also possible for the user to photograph an item such as clothes owned by the user and coordinate it as one of the items. . This will be described below.
First, a user transmits image data of a photograph of clothes, bags, accessories, footwear, and the like from the terminal device 30 to the dress-up simulation server 10. At the time of transmission, the user selects a clothing category. This category includes pants, tops, shoes, bags and the like. This category may not be selected, but it is preferable to select a category in order to increase the accuracy of image data processing in the simulation server 10.
The dress-up simulation server 10 receives image data and category data of the photo. After this reception, the dress-up simulation server 10 lists the image data transmitted from the user in the item (product) image display field 120 of the base window 100. In the subsequent dressing simulation, the same processing as described above is performed.
Further, without listing in the item (product) image display field 120 of the base window 100, it is also possible to add to the list of items displayed on the display unit 226 in the dress-up window 200 directly. In that case, the processing in the dress-up simulation server described above is performed.
If these image processing processes cannot be performed by the server, the terminal apparatus 30 is notified that the image data of a new photo is desired to be transmitted again, and the transmission is requested again.

  The automatic generation system for image data such as clothes for dressing simulation according to the present embodiment described above, a great amount of labor, time and cost in creating image data such as clothes, footwear, accessories, and hats for dressing simulation. Can be reduced. In addition, image data such as clothes, footwear, accessories, and hats that are not originally created for the dress-up simulation can be used for the dress-up simulation. Furthermore, it is possible to simulate the coordination in addition to the items of the dress-up simulation by the user. Therefore, the willingness to purchase of general users who are users of the dress-up simulation is also improved.

  In this embodiment, an avatar (a model image of a person) has been described. However, an object may be an image of a pet such as a dog or a cat. In that case, clothes, accessories, footwear, etc. that match the shape of the pet. It is possible to perform a dress-up simulation by storing and storing the template data in the dress-up simulation server.

DESCRIPTION OF SYMBOLS 10 Content distribution server 20 Communication network 30 Terminal device 100 Base window 110 Start button 120 Item (product) image display column 130 Search column 140 Head part 200 Dress-up window 210 First dress-up window 211 Avatar display unit 212 Wearing item display unit 213 Expansion button 214 Avatar switching button 215 Reset button 216 Save button 220 Second dress-up window 221 Item search button 222 Reduce button 223 Close button 224 Coordinate button 225 Selection button 226 Display unit 227 Favorite item display unit 230 Third dress-up Window 231 Search part 232 Search result display part 233 Close button 300 Small window

Claims (3)

A dress-up simulation server in a dress-up simulation for combining and displaying image data of clothes, bags, accessories, footwear, etc. on a model image,
Shape recognition processing means for recognizing the shape of clothes, bags, accessories, footwear, etc. displayed in the image data, such as photographs, from images including clothes, bags, accessories, footwear, etc.,
Corresponding the shape data of clothes, heels, accessories, footwear, etc. recognized by the shape recognition processing means with the template data of the shapes of clothes, heels, accessories, footwear, etc. stored in advance, Category determination processing means for determining whether the clothing, bag, accessory, footwear, etc. recognized by the recognition processing means are included in any category of clothes, bag, accessory, footwear, etc .;
Detail recognition processing means for recognizing the shape and size, color, material, etc. of these details in the category of clothes, shoes, accessories, footwear, etc. determined by the category determination processing means;
The detailed data such as the shape and size, color, and material of the details recognized by the detail recognition processing means are associated with the template data such as the shape and size of the details stored in advance and the color, Detail determination processing means for determining whether the shape and size, color, material, etc. of the details recognized by the detail recognition processing means match or approximate any template data;
Template data extraction for extracting template data of shapes such as clothes, bags, accessories, footwear, and the like determined by the category determination processing means and detail determination processing means, and template data such as the shapes and dimensions of these details, colors, and materials Processing means;
Template data synthesis processing means for synthesizing the template data extracted by the template data extraction processing means;
Cropping processing means for cropping only image data of clothes, bags, accessories, footwear, etc. from image data such as photographs including the clothes, bags, accessories, footwear, etc .;
Morphing processing means for performing morphing processing for matching image data of clothing, heels, accessories, footwear, etc. clipped by the clipping processing means with the shape of the template data synthesized by the template data synthesis processing means;
First image data pasting processing means for pasting image data of clothes, bags, accessories, footwear, etc. morphed by the morphing processing means to template data synthesized by the template data synthesizing means;
Second image data pasting processing means for further pasting image data of clothes, heels, accessories, footwear, etc. pasted by the first image data pasting processing means on the model image;
A dress-up simulation server characterized by comprising: In a system for automatically generating image data such as clothes for simulation of dress-up comprising a server for dress-up simulation connected to a communication network and one or a plurality of terminal devices connectable to the communication network,
When there is a simulation program delivery request from the terminal device to the dress-up simulation server, the dress-up simulation program delivery processing means for the dress-up simulation server to deliver the dress-up simulation program to the terminal device;
When the dress-up simulation program is started on the terminal device and the user drags and drops image data such as a photograph of clothes onto a model image for dress-up simulation,
Shape recognition processing means for recognizing the shape of clothes, bags, accessories, footwear, etc. displayed in the image data, such as photographs, from images including clothes, bags, accessories, footwear, etc.,
Corresponding the shape data of clothes, heels, accessories, footwear, etc. recognized by the shape recognition processing means with the template data of the shapes of clothes, heels, accessories, footwear, etc. stored in advance, Category determination processing means for determining whether the clothing, bag, accessory, footwear, etc. recognized by the recognition processing means are included in any category of clothes, bag, accessory, footwear, etc .;
Detail recognition processing means for recognizing the shape and size, color, material, etc. of these details in the category of clothes, shoes, accessories, footwear, etc. determined by the category determination processing means;
Correspondence between the detailed data such as the shape and size, color, material, etc. of these details recognized by the detail recognition processing means and the template data such as the shape shape, size, color, material, etc. stored in advance. Detail determination processing means for determining whether the shape and size, color, material, etc. of the details recognized by the detail recognition processing means match or approximate any template data;
Template data extraction for extracting template data of shapes such as clothes, bags, accessories, footwear, and the like determined by the category determination processing means and detail determination processing means, and template data such as the shapes and dimensions of these details, colors, and materials Processing means;
Template data synthesis processing means for synthesizing the template data extracted by the template data extraction processing means;
Cropping processing means for cropping only image data of clothes, bags, accessories, footwear, etc. from image data such as photographs including the clothes, bags, accessories, footwear, etc .;
Morphing processing means for performing morphing processing for matching image data of clothing, heels, accessories, footwear, etc. clipped by the clipping processing means with the shape of the template data synthesized by the template data synthesis processing means;
First image data pasting processing means for pasting image data of clothes, bags, accessories, footwear, etc. morphed by the morphing processing means to template data synthesized by the template data synthesizing means;
Second image data pasting processing means for further pasting image data of clothes, heels, accessories, footwear, etc. pasted by the first image data pasting processing means on the model image;
Dress-up model image display means for displaying the image data generated by the second image data pasting processing means as a model image of the terminal device;
A system for automatically generating image data such as clothes for simulation of changing clothes, comprising: A method for automatically generating image data such as clothes for simulation for dressing comprising a server for dressing simulation connected to a communication network and one or a plurality of terminal devices connectable to the communication network,
When there is a simulation program delivery request from the terminal device to the dress-up simulation server, the dress-up simulation server delivers the dress-up simulation program to the terminal device;
When the dress-up simulation program is started on the terminal device and the user drags and drops image data such as a photograph of clothes onto a model image for dress-up simulation,
A shape recognition processing step for recognizing the shape of clothes, bags, accessories, footwear, etc. displayed in the image data of the photos, etc. from image data, such as photos including clothes, bags, accessories, footwear, etc .;
The shape data of the clothing, bag, accessory, footwear, etc. recognized by the shape recognition processing step is associated with the template data of the shape of the clothing, bag, accessory, footwear, etc. stored and stored in advance, and the shape A category determination processing step for determining whether the clothing, bag, accessory, footwear, etc. recognized by the recognition processing step are included in any category of clothing, bag, accessory, footwear, etc .;
In the category of clothing, shoes, accessories, footwear, etc. determined by the category determination processing step, further, a detail recognition processing step for recognizing the shape and size, color, material, etc. of these details;
Correspondence between detailed data such as shape and size, color, material, etc. of these details recognized by the detail recognition processing step and template data such as detailed shape, size, color, material, etc. stored and stored in advance. A detail determination processing step for determining whether the shape and size of the detail, the color, the material, and the like recognized by the detail recognition processing step match or approximate any template data;
Template data extraction for extracting template data of shapes such as clothes, heels, accessories, footwear, etc. determined by the category determination processing step and detail determination processing step, and template data such as shapes and dimensions, colors, materials, etc. of these details Processing steps;
A template data synthesis processing step for synthesizing the template data extracted by the template data extraction processing step;
A clipping process step of clipping only image data of clothes, bags, accessories, footwear, etc. from image data such as photographs including the clothes, bags, accessories, footwear, etc .;
Morphing processing step for performing morphing processing for matching the image data of clothes, heels, accessories, footwear, etc. cut out by the cutting processing step with the shape of the template data combined by the template data combining processing step;
A first image data pasting process step for pasting image data of clothes, bags, accessories, footwear, etc. morphed in the morphing process step to the template data synthesized in the template data synthesis process step;
A second image data pasting process step for further pasting the image data of the clothing, bag, accessory, footwear, etc. pasted by the first image data pasting processing step on the model image;
Dress-up model image display step for displaying the image data generated by the second image data pasting processing step as a model image of the terminal device;
A method for automatically generating image data of clothes for simulation of dressing, characterized by comprising:

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