Virtual Fabric Texture Generation Using Pattern Repetition Detection
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Solution Overview
Problem
Generating a texture image for virtual fabrics is time-consuming and resource-intensive due to the repetitive manual operations required for synthesizing patterns from actual fabrics, which hinders efficient virtual simulation.
Innovation Solution
A method to generate a texture image by determining similarity information between patterns in an input image, calculating repetition number and direction, and correcting the texture image based on pattern, overlapping area, and brightness information to produce a realistic virtual fabric.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual pattern extraction and texture synthesis methods are used, then texture quality can be maintained, but time consumption and resource requirements increase significantly
Solution Approach 1:
The patent uses image copying techniques to automatically replicate and tile fabric patterns. Instead of manual extraction, the system captures an image of the actual fabric and uses algorithmic copying to generate the texture map, significantly reducing time while maintaining quality through automated pattern recognition and repetition
Solution Approach 2:
The patent replaces manual mechanical operations with automated image processing algorithms. The system substitutes human hands-on pattern extraction with computer-based image capture, analysis, and synthesis algorithms that automatically generate texture maps from fabric images
2Manufacturing precision
If manual pattern extraction is performed, then pattern accuracy can be ensured, but human resource requirements increase
Solution Approach 1:
The system performs self-service through automated image processing. The algorithm independently captures the fabric image, identifies patterns, determines repetition parameters, and generates the texture map without human intervention, eliminating the need for manual pattern extraction while maintaining accuracy through computational analysis
3Manufacturing precision
If repetitive manual operations are performed for texture generation, then texture detail can be maintained, but productivity decreases
Solution Approach 1:
The patent performs preliminary actions by capturing the complete fabric image and pre-processing it to identify all pattern elements before texture generation. The system预先 determines repetition numbers, directions, and tile arrangements, enabling automated bulk generation of texture maps with consistent detail quality across the entire fabric surface
Data Source
AI summary
Generating a texture image of a virtual fabric from a captured image involves generating similarity information about each similarity between a basic pattern included in a target analysis area and a plurality of sub areas which divide the target analysis area. At least one of information about a repetition number of the basic pattern and information about a repetition direction of the basic pattern is generated based on the similarity information. A texture image of a virtual fabric is generated by disposing a plurality of basic patterns in a predetermined area based on the basic pattern, the information about the repetition number and the information about the repetition direction.