Garment Design Generation Using Photogrammetric Body Modeling
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Solution Overview
Problem
Current methods for customizing garments are time-consuming and inaccurate, as they require in-person tailoring or online measurements, which may not account for personal style preferences and body traits, and often lack suitable designs that fit well due to limitations in available styles and measurement accuracy.
Innovation Solution
A system and method for generating customized garment designs by analyzing user data, including photos and preferences, to identify preferred styles and features, and using algorithms to select fabric and cut variables, along with inter-fabric and inter-cut score adjustments to create a design with high affinity to the user's preferences and body traits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If in-person tailoring is used to create customized garments, then garment fit and customization quality are improved, but time consumption and process complexity increase
Solution Approach 1:
The patent uses photogrammetry to create a digital 3D copy of the customer's body from photographs, replacing the need for physical in-person measurements. This digital body model serves as a copy that captures all necessary dimensional information, enabling remote customization without sacrificing fit accuracy while eliminating time-consuming in-person appointments.
Solution Approach 2:
The patent replaces the mechanical measurement process (physical tape measurements by a tailor) with an optical system (photogrammetry using photographs). This substitution automates the measurement extraction process, allowing the system to derive body dimensions from images without requiring physical contact or manual measurement by a human operator.
2Ease of operation
If online custom garment ordering is used, then convenience is improved, but measurement accuracy and style options deteriorate
Solution Approach 1:
The system creates a digital copy of the customer's body through photogrammetry, enabling accurate remote measurements without requiring the customer to visit a physical location. This digital body model preserves measurement accuracy while maintaining the convenience of online ordering.
Solution Approach 2:
The customer takes their own photographs to create the digital body model, eliminating the need for a tailor's physical presence. This self-service approach maintains measurement accuracy through automated photogrammetric processing while maximizing convenience for the customer.
3Manufacturing precision
If traditional custom clothing services are used, then personalized fit is improved, but available style options and adaptability deteriorate
Solution Approach 1:
The photogrammetry-based measurement system serves multiple functions: it captures comprehensive body dimensional data for fit customization, and simultaneously provides the foundation for recommending various garment styles and configurations. This universal measurement approach enables both personalized fit and broad style adaptability from a single data collection process.
Solution Approach 2:
The system segments the customization process into independent components: body measurement extraction via photogrammetry, style selection, and garment configuration. This segmentation allows the measurement system to serve multiple style options independently, enabling customers to choose from various styles while maintaining accurate personalized fit through the same foundational body data.
4Adaptability or versatility
If manual body measurements are taken by individuals, then customization is enabled, but measurement accuracy and reliability deteriorate
Solution Approach 1:
The patent replaces manual measurement processes with automated photogrammetric analysis. Instead of relying on individuals to physically measure body parts (which introduces human error), the system uses optical algorithms to automatically extract dimensional data from photographs, significantly improving measurement reliability and consistency.
Solution Approach 2:
The system creates a digital copy of the body through photogrammetry, which can be repeatedly measured and analyzed without variation. This digital model eliminates the inconsistency of manual measurements by different individuals, providing reliable and reproducible body dimensional data for customization.
Data Source
AI summary
Disclosed are methods and systems for generating a customized garment design. The method, when executed by a processor, comprises first receiving user data, generating at least one user signal, identifying a preferred garment category by analyzing the user data, retrieving related third-party data and public data, and retrieving features for the identified garment category from a database. For features associated with cuts and fabrics, preferred cut values and preferred fabric values are identified based on previously received data, and corresponding value scores computed. For other features, preferred feature values are identified, and corresponding value scores computed. One or more feature sets are generated by selecting a preferred value for each feature, where an associated feature set score is computed based on the value scores and one or more score adjustments. A customized garment design is generated by selecting a feature set with a high feature set score.