Virtual Try-On System Using Body Type Parameter Matching
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Solution Overview
Problem
Existing technologies struggle to accurately display a subject trying on different sizes of clothing, as they typically rely on pre-defined sizes and body types, limiting the ability to show a subject in various clothing sizes that fit their actual body type.
Innovation Solution
An image processing system that acquires a subject's image and body type parameters, identifies clothing images with similar body types from a database, and synthesizes an image of the subject wearing the clothing, ensuring a matching body type and size representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-defined clothing sizes and body types are used for synthesis, then the synthesis process is simplified, but the accuracy of representing the subject's actual body type in different clothing sizes deteriorates
Solution Approach 1:
The patent transforms fixed pre-defined body type parameters into variable parameters that can be dynamically adjusted. The system extracts actual body type parameters from the input image and uses these as variables to select and adjust clothing templates, enabling accurate representation of subjects with different body types while maintaining synthesis simplicity through automated parameter extraction and matching.
2Adaptability or versatility
If multiple clothing sizes with corresponding body type parameters are stored in advance, then the ability to represent subjects in different sizes is improved, but the data storage requirements and system complexity increase
Solution Approach 1:
The patent creates a universal clothing template structure that can serve multiple clothing sizes and body types. Instead of storing completely separate data for each size, the system uses a standardized template format with adjustable parameters that can be applied across different sizes, reducing data redundancy while maintaining the ability to represent various clothing sizes accurately.
Solution Approach 2:
The system uses template copying with parameter adjustment rather than storing complete independent images for each size. A base clothing template is copied and adapted to different sizes by modifying parameters such as scale, position, and body type characteristics, significantly reducing storage requirements while maintaining versatility.
3Speed
If conventional synthesis methods are used, then processing speed is maintained, but the personalization and realism of the virtual try-on experience deteriorates
Solution Approach 1:
The patent performs preliminary extraction and analysis of body type parameters from the input image before the synthesis process. By pre-processing the subject image to extract accurate body measurements and characteristics, the system enables rapid matching with appropriate clothing templates during synthesis, maintaining processing speed while significantly improving personalization and realism through accurate body type representation.
Data Source
AI summary
According to an embodiment, a first acquirer of an image processing apparatus acquires a subject image of a first subject. A second acquirer acquires a first parameter representing a body type of the first subject. A receiver receives identification information on clothing to be tried on. An identifier identifies a clothing image associated with a second parameter of which dissimilarity with the first parameter is not larger than a threshold, from among clothing images associated with the received identification information in first information in which clothing sizes, second parameters, and clothing images are associated with each piece of identification information. The second parameters corresponds to each clothing size and represents different body types. The clothing images each represents a second subject who has a body type represented by the corresponding second parameter associated with the corresponding clothing size and who is wearing the piece of clothing in each clothing size.