3D Garment Fit Simulation With Soft Body Deformation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in accurately predicting the fit of apparel on the human body, particularly for garments worn close to the body, due to the soft and deformable nature of the human body and the dependency on how the garment is worn and placed, leading to poor fit issues in the apparel industry.
Innovation Solution
A method for generating three-dimensional representations of garments by obtaining a three-dimensional human body model and two-dimensional garment pattern elements, allowing user arrangement and re-arrangement on a two-dimensional map, and simulating the physical interaction between the body and garment, including deformation, to display a realistic fit and appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 3D garment fitting methods are used, then the fit prediction should be accurate, but the complexity of manipulating six degrees of freedom makes the process extremely difficult and time-consuming
Solution Approach 1:
The patent transforms the complex 3D garment fitting problem into a 2D pattern arrangement problem. By projecting the 3D garment and body onto 2D planes, users can arrange garment patterns on 2D body maps without dealing with six degrees of freedom in 3D space. This dimensional reduction maintains fit prediction accuracy while dramatically simplifying the user interface and interaction complexity.
2Ease of manufacture
If the human body is modeled as a rigid structure, then the modeling process is simpler, but it cannot accurately represent the soft and deformable nature of the human body when garments are worn
Solution Approach 1:
The patent implements a soft body model that dynamically deforms in response to garment forces. The body model is represented as a mesh of interconnected elements that can bend, stretch, and compress realistically. This dynamic modeling approach captures the soft and deformable nature of human tissue while maintaining computational efficiency through constrained dynamics and force-based simulations.
Solution Approach 2:
The patent uses parameter-based material models to represent different body tissues with varying mechanical properties. By adjusting parameters such as elasticity, viscosity, and density for different body regions, the model accurately represents the deformable nature of soft tissue without requiring overly complex geometric models. This parameter-driven approach balances simplicity with physiological accuracy.
3Measurement precision
If detailed 3D simulations of garment-body interaction are performed, then the fit prediction accuracy is improved, but the computational time and resources required increase significantly
Solution Approach 1:
The patent performs preliminary calculations by pre-computing body surface maps, curvature information, and material properties before the actual fitting simulation. Garment patterns are pre-segmented and prepared with their mechanical properties defined in advance. This preliminary preparation enables the main simulation to run faster by avoiding repeated calculations of basic geometric and material characteristics during the interactive fitting process.
Solution Approach 2:
The patent implements a multi-resolution simulation approach where full 3D physical simulations are performed only for critical fit assessment regions, while other areas use simplified 2D projections or pre-computed results. This selective simulation strategy maintains accuracy where needed while reducing overall computational burden by applying appropriate levels of detail to different body regions and garment areas.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate visualization and simulation of garment fit on a virtual human body, simplifying the design and selection process by reducing the complexity of manipulating six degrees of freedom, and providing real-time three-dimensional representations that account for body deformation and garment interaction.
Implementation Method 1
simulating a three dimensional physical interaction of the three dimensional body model with a three dimensional representation of the garment. Simulating the three-dimensional physical interaction may comprise: deforming both the three-dimensional human body model and the three dimensional representation of the garment
Data Source
AI summary
A method generates a three dimensional representation of a garment and comprises: obtaining a three dimensional human body model comprising an outer surface representative of an outermost surface of a human body; obtaining a three dimensional representation of a garment; and simulating a three dimensional physical interaction of the three dimensional body model with a three dimensional representation of the garment. Simulating the three-dimensional physical interaction comprises: deforming both the three-dimensional body model and the three dimensional representation of the garment; and displaying the deformed three-dimensional human body model and the deformed three-dimensional representation of the garment.