3D Face Model Parameter Configuration via Reference Image Mapping
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Solution Overview
Problem
Users face difficulty in quickly configuring a face similar to a specified person in face customization systems due to the need for constant adjustments of face parameters, increasing operation difficulty and reducing configuration efficiency.
Innovation Solution
A method that involves obtaining a reference face image, identifying key facial points, and determining a recommended parameter set in a face parameter value space, projecting the three-dimensional face model onto a coordinate system to match the reference coordinates, thereby simplifying the configuration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually adjust face parameters to create a virtual appearance similar to a specified person, then the customization flexibility is improved, but the operation difficulty increases and configuration efficiency decreases
Solution Approach 1:
The patent uses a reference face image as a template to automatically generate face parameters. Instead of manual adjustment, the system copies the facial features from the reference image and maps them to the 3D face model parameters, enabling users to quickly create a virtual appearance similar to the specified person without manual tweaking
Solution Approach 2:
The patent automatically adjusts face parameters by comparing the reference face image with the 3D face model. The system changes parameters such as face shape, eye position, nose shape, and mouth position based on the coordinates detected from the reference image, thereby resolving the contradiction between customization flexibility and ease of operation
2Manufacturing precision
If users manually adjust face parameters to achieve desired appearance, then the precision of face customization is improved, but the configuration time increases
Solution Approach 1:
The system performs preliminary action by automatically detecting key facial points and calculating face parameters before the user needs to configure the model. The reference face image is processed in advance to extract coordinate information, which is then used to directly configure the 3D face model parameters, saving user time while maintaining precision
Solution Approach 2:
The patent introduces an intermediary computational process that automatically maps coordinates from the reference face image to the 3D face model parameters. This intermediary system bridges the gap between the reference image and the final model, achieving both precision and time efficiency by eliminating manual adjustment steps
3Productivity
If the system provides automated parameter recommendations based on reference images, then the configuration efficiency is improved, but the device complexity increases
Solution Approach 1:
The patent replaces the mechanical manual adjustment system with an automated computational system. Instead of users manually adjusting parameters, the system uses image processing algorithms to detect facial features and automatically calculate the corresponding 3D model parameters, thereby improving configuration efficiency while the computational complexity is managed through algorithmic approaches
Data Source
AI summary
This application provides a method for configuring parameters of a three-dimensional face model. The method includes: obtaining a reference face image; identifying a key facial point on the reference face image to obtain key point coordinates as reference coordinates; and determining a recommended parameter set in a face parameter value space according to the reference coordinates. The first projected coordinates are projected coordinates of the key facial point obtained by projecting a three-dimensional face model corresponding to the recommended parameter set onto a coordinate system. The proximity of the first projected coordinates to the reference coordinates meets a preset condition.