3D Face Image Fusion via Texture Coordinate Recalculation
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Solution Overview
Problem
Current face replacement methods in image processing face challenges with significant deformation and tone mismatch due to posture, illumination, and viewing angle differences, leading to unharmonious results.
Innovation Solution
A method involving three-dimensional face modeling, texture coordinate calculation, and skin-color adjustment to fuse faces in images, using three-dimensional morphable models and projection matrices to align and adjust facial features, ensuring seamless integration and natural appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If direct face replacement is used, then the operation is simple, but serious deformation of five-sense organs occurs and the result is unharmonious
Solution Approach 1:
The patent transforms 2D face images into 3D space by establishing three-dimensional coordinate systems and calculating 3D position coordinates for facial features. This dimensional transformation allows accurate alignment of facial features across different poses and perspectives, resolving the deformation problem while maintaining operational feasibility through automated 3D modeling and projection processes.
Solution Approach 2:
The patent changes the parameter space from 2D image coordinates to 3D spatial coordinates, introducing depth information and perspective transformation parameters. By calculating projection matrices and transforming coordinates between different 3D spaces, the system achieves accurate facial feature alignment that accounts for pose differences, illumination variations, and viewing angle changes.
2Productivity
If direct face replacement is used, then the process is fast, but tone mismatch and color inconsistency occur
Solution Approach 1:
The patent applies color space transformation and skin color parameter adjustment to resolve tone mismatch. By analyzing skin color characteristics in the target image and applying corresponding color transformations to the material image, the system achieves natural-looking fusion that matches illumination conditions and skin tone, while maintaining efficient automated processing.
3Manufacturing precision
If 3D modeling and texture coordinate transformation are used, then face alignment accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing 3D face models, pre-calculating projection matrices, and pre-defining texture coordinate systems before actual face replacement. This preprocessing approach enables faster real-time processing while maintaining high accuracy, as the computationally intensive 3D modeling and coordinate transformation frameworks are prepared in advance.
Data Source
AI summary
The invention discloses a method of face image fusion, and the method comprises: calculating three-dimensional models of face in the material image and the target image as a first three-dimensional model and a second three-dimensional model respectively; calculating a first projection matrix and a second projection matrix by projecting the first three-dimensional model and the second three-dimensional model projecting onto a plane respectivley; calculating a first texture coordinate according to the first three-dimensional model and the first projection matrix; calculating a second texture coordinate according to the second three-dimensional model and the second projection matrix; obtaining a re-constructed face image of the target image by replacing the first texture coordinate with the second texture coordinate; and fusing the re-constructed face image of the target image with the material image to generate the fusion image.