3D Face Key Point Alignment for Virtual Makeup Fusion
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Solution Overview
Problem
Existing image processing technologies face challenges in enhancing the fit between three-dimensional human faces and virtual makeup in images, affecting the display quality of processed images.
Innovation Solution
A method that detects human face key points in a three-dimensional image, aligns and fuses a virtual makeup image with corresponding key points, ensuring precise alignment and integration of virtual makeup with the target image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If virtual makeup is added to an image using conventional image processing technology, then the image processing function is provided, but the fit degree between the three-dimensional human face and the virtual makeup is poor, affecting display quality
Solution Approach 1:
The patent transitions from two-dimensional image processing to three-dimensional face modeling by constructing a 3D human face model with depth information. This dimensional elevation enables accurate mapping of virtual makeup onto the 3D face structure, resolving the fit degree issue by considering facial curvature and spatial relationships rather than flat 2D coordinates
Solution Approach 2:
The patent replaces conventional 2D image processing algorithms with a 3D computer vision system that uses depth maps, point cloud data, and spatial coordinate transformations. This substitution of processing methodology enables precise alignment of virtual makeup with the actual three-dimensional facial features, significantly improving both fit degree and display quality
Data Source
AI summary
A method for processing images includes: detecting a plurality of human face key points of a three-dimensional human face in a target image; acquiring a virtual makeup image, wherein the virtual makeup image includes a plurality of reference key points, the reference key points indicating human face key points of a two-dimensional human face; and acquiring a target image fused with the virtual makeup image by fusing the virtual makeup image and the target image with each of the reference key points in the virtual makeup image aligned with a corresponding human face key point.


