Face Beautification via Triangulation Grids and Key Points
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Solution Overview
Problem
Existing face beautification methods in image processing technologies are inefficient, leading to slow processing speeds and inability to achieve personalized beautifying effects due to the need for separate technical means for different functionalities.
Innovation Solution
The method involves extracting key points from a face image, constructing triangulation grids based on preset templates, and applying beautification functionalities such as shaping, makeup, and skin retouching on these grids, using a combination of key points and triangulation templates to enhance processing speed and achieve personalized effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate technical means are used for different beautification functionalities, then each functionality can be implemented independently, but processing speed becomes slow and system complexity increases
Solution Approach 1:
The patent implements a universal triangulation template system that serves multiple beautification functionalities (shaping, makeup, whitening, skin retouching) through a single integrated framework. The same template structure and key point extraction process is reused across different beautification types, eliminating the need for separate technical means for each function while maintaining processing efficiency
2Adaptability or versatility
If separate technical means are used for different beautification functionalities, then each functionality can be implemented independently, but device complexity increases
Solution Approach 1:
The system uses a single triangulation template structure that can be applied to multiple beautification functionalities. The key point extraction, template matching, and grid construction processes are unified across different beautification types, reducing system complexity while maintaining versatility
Solution Approach 2:
The patent segments the beautification process into distinct functional modules (key point extraction, template matching, grid construction, beautification application) that can be independently configured for different functionalities. This modular segmentation allows the system to handle multiple beautification types through a standardized workflow rather than requiring separate complete systems for each function
3Manufacturing precision
If key points are extracted and triangulation grids are constructed for beautification, then personalized beautification effects are achieved, but processing time increases
Solution Approach 1:
The patent performs preliminary extraction of key points from the face image and pre-construction of triangulation grids before applying the actual beautification effects. By preparing the geometric framework in advance, the system enables rapid application of personalized beautification effects without requiring time-consuming computations during the actual beautification process
Solution Approach 2:
The system uses triangulation templates that are copied and applied to different regions of the face image. Instead of computing unique triangulation grids for each beautification region, the patent reuses standardized template structures that have been pre-validated, significantly reducing computation time while maintaining precision through adaptive key point mapping
Data Source
AI summary
A method and apparatus for beautifying a face are provided. The method may include: extracting a first predetermined number of key points from a current face image captured in advance, and expanding a second predetermined number of key points in the current face image; extracting each preset key point from a triangulation template with a preset functionality, and extracting a target key point corresponding to each preset key point from a set of key points consisting of the first predetermined number of key points and the second predetermined number of key points; extracting each preset triangulation grid from the triangulation template based on each preset key point, and constructing a target triangulation grid corresponding to each preset triangulation grid in the current face image based on each target key point; and performing beautifying with the preset functionality on the current face image on each target triangulation grid.