3D Body Model to 2D Cutting Pattern Algorithm
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Solution Overview
Problem
Conventional methods for creating cutting patterns for garments are inadequate as they rely on two-dimensional measurements, failing to account for the body's three-dimensional curvatures, leading to inconsistent fit for individuals with non-standard body shapes.
Innovation Solution
A method that generates a virtual 3D body model from individual 3D body scan data and a virtual 3D garment design, using algorithmic flattening to create a precise 2D cutting pattern, accounting for the body's topology and shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 2D measurement methods are used to create cutting patterns, then the process is simple and quick, but the fit accuracy deteriorates for individuals with non-standard body shapes
Solution Approach 1:
The patent transitions from conventional 2D linear measurements to comprehensive 3D body scanning. The body scanner captures the customer's entire body geometry in three dimensions, including curvatures and surface characteristics that 2D measurements cannot detect. This dimensional upgrade enables precise fitting for diverse body shapes by accounting for the full complexity of human anatomy.
Solution Approach 2:
The patent creates a digital 3D copy of the customer's body through scanning. This virtual body model serves as an exact replica that can be manipulated, measured, and used for pattern making without requiring physical contact or complex manual measurement processes. The digital copy preserves all geometric details while enabling sophisticated computational analysis.
2Manufacturing precision
If standard cutting patterns are scaled using conventional grading methods, then the process is efficient and standardized, but the manufacturing precision deteriorates for non-standard body shapes
Solution Approach 1:
The patent performs preliminary 3D scanning and virtual fitting before actual garment production. The system pre-calculates the optimal cutting pattern by draping virtual garments on the customer's 3D body model and simulating the fitting process. This preliminary virtual prototyping eliminates the need for multiple physical adjustments and ensures high precision from the first cut.
Solution Approach 2:
The patent replaces manual mechanical pattern-making processes with automated computational algorithms. Instead of tailors manually adjusting and redrawing patterns based on measurements, the system uses computer algorithms to automatically generate precise cutting patterns from the 3D scan data, significantly improving both accuracy and efficiency.
3Measurement precision
If multiple manual adjustments are made during the sewing process to achieve good fit, then the fit accuracy improves, but the loss of time increases
Solution Approach 1:
The patent performs all necessary fitting adjustments in the virtual domain before production. The system simulates garment draping, tension, and fit on the customer's 3D body model, identifying and resolving any fitting issues beforehand. This preliminary virtual prototyping ensures that the actual garment requires minimal or no adjustments, saving significant time during production and fitting.
Data Source
AI summary
The present invention relates to a method, a computer program product, and a device for providing at least one cutting pattern of a garment to be made individually for a customer. Here, the method comprises the steps of:creating a virtual individual 3D body model (20) of the customer based on individually determined 3D body shell data (10) of the customer and general skeletal data (30) provided;creating a virtual individual 3D garment (40) based on a virtual 3D ideal design (30) and the virtual custom 3D body model (20) created;creating the at least one cutting pattern by flattening/developing the virtual individual 3D garment (40), wherein flattening/developing the virtual individual 3D garment (40) takes place algorithmically on the basis of at least one set of cutting rules (52, 54).