Garment Grading with Supplemental Material Deformation
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Solution Overview
Problem
Existing garment grading methods fail to accurately generate target patterns for avatars with different body sizes and poses, as they do not account for varying degrees of deformation in body portions, leading to inaccurate fitting.
Innovation Solution
A method and apparatus that calculate three-dimensional strain information between source and target avatars, and apply this information to automatically deform two-dimensional garment patterns and supplemental materials, such as buttons and zippers, while maintaining the curvature and length ratios of the original pattern, to ensure accurate fitting on the target avatar.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic grading is applied to supplemental materials, then productivity is improved, but manufacturing precision deteriorates due to inaccurate positioning
Solution Approach 1:
The patent segments supplemental materials into different types (first-type with graphic property, second-type with editing property, third-type with line property) and applies different grading approaches to each type. This segmentation allows automatic grading to be applied efficiently while maintaining precision through type-specific processing rules.
Solution Approach 2:
The patent applies different grading strategies to different regions and types of supplemental materials based on their specific properties. For example, graphic-layer supplemental materials are graded by deforming their positions and sizes according to polygon grading information, while line-property supplemental materials follow contour lines of the 2D pattern. This local quality approach ensures each supplemental material is graded appropriately for its specific characteristics.
2Manufacturing precision
If manual positioning is used for each supplemental material, then manufacturing precision is improved, but productivity deteriorates due to additional tasks
Solution Approach 1:
The patent performs preliminary classification of supplemental materials into different types before the grading process. This preliminary action organizes the supplemental materials in advance, allowing the automatic grading system to efficiently process them according to their specific types without requiring manual intervention during the actual grading operation.
Solution Approach 2:
The patent enables supplemental materials to grade themselves automatically based on their type characteristics and the grading information of the 2D pattern. The system determines the appropriate grading method for each supplemental material type and applies it automatically, eliminating the need for manual positioning while maintaining precision through the self-service grading mechanism.
3Device complexity
If uniform grading is applied to all supplemental materials, then device complexity is reduced, but manufacturing precision deteriorates due to ignoring material-specific properties
Solution Approach 1:
The patent implements local quality by differentiating grading methods according to supplemental material types. First-type supplemental materials (graphic property) are graded by deforming their positions and sizes based on polygon grading. Second-type supplemental materials (editing property) are graded by moving their positions according to pattern deformation. Third-type supplemental materials (line property) are graded by following the contour lines of the 2D pattern. This type-specific approach maintains precision without excessive complexity.
Solution Approach 2:
The patent changes the grading parameters and methods based on the type of supplemental material. Different parameter sets are applied to different material types, allowing the system to maintain simplicity while achieving precision through parameter adaptation rather than complex structural changes.
Data Source
AI summary
A grading method and apparatus for garments including supplemental materials is provided. The grading method and apparatus calculates three-dimensional (3D) strain information between a 3D source avatar and a 3D target avatar, calculates two-dimensional (2D) strain information of a 2D pattern corresponding to source garments draped over the 3D source avatar based on the 3D strain information, determines grading information for grading the 2D pattern to correspond to the 3D target avatar based on the 2D strain information, identifies at least one supplemental material included in the source garments, extracts at least one polygon matching the at least one supplemental material among a plurality of polygons modeling the 2D pattern, and performs grading on the at least one supplemental material based on grading information of the at least one polygon.