Image Processing Apparatus for High-Fidelity Hair Texture Reproduction
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Solution Overview
Problem
Current techniques for reproducing three-dimensional shapes, particularly hair textures, struggle to accurately capture and replicate the flowing of hair bundles and fine unevenness, requiring numerous templates with varied straight-line directions, which limits their effectiveness in achieving high accuracy.
Innovation Solution
An image processing apparatus that acquires and processes data to identify and correct three-dimensional shape data by adding low-frequency and high-frequency unevenness, using region data to enhance the representation of hair bundles and individual fibers, allowing for precise reproduction of fibrous uneven shapes on surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a preregistered fine hair pattern is used to replace the extracted head hair image, then the processing complexity is reduced, but the accuracy of reproducing hair bundles flowing through a wide range is lost
Solution Approach 1:
The patent segments the head hair image into multiple regions corresponding to different hair bundles, analyzing each region separately to capture the flowing characteristics of hair bundles across wide ranges while maintaining processing efficiency through systematic region-based processing
Solution Approach 2:
The patent transitions from two-dimensional pattern replacement to three-dimensional shape data processing, adding depth information and spatial relationships to accurately represent hair bundle flow and fine unevenness in multiple dimensions
2Manufacturing precision
If numerous templates of hair patterns with finely changed straight-line directions are prepared to reproduce fine unevenness with high accuracy, then the reproduction accuracy is improved, but the device complexity and preparation workload increase
Solution Approach 1:
The patent employs dynamic analysis of hair bundle directions and unevenness characteristics in each region, allowing the system to adapt to varying hair orientations and patterns without requiring predetermined templates for every possible configuration
Solution Approach 2:
The patent changes the approach from using multiple fixed templates to modifying parameters such as straight-line directions, unevenness amplitudes, and bundle orientations dynamically based on region-specific analysis results, achieving high accuracy with a single versatile processing framework
Data Source
AI summary
An image processing apparatus includes a generation unit configured to generate first region data indicating a region corresponding to a general uneven shape of each of a plurality of bundles included in a three-dimensional object and second region data indicating a region corresponding to an uneven shape of an extremely small substance included in each of the bundles by analyzing image data, and an output unit configured to output shape data after correcting the shape data by adding the general uneven shape of each of the plurality of bundles included in the three-dimensional object to the general uneven shape of the three-dimensional object and adding the uneven shape of the extremely small substance included in each of the bundles on the general uneven shape of each of the plurality of bundles included in the three-dimensional object based on the first region data and the second region data.