Automated Face Model Generation via Feature Mapping
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Solution Overview
Problem
Manual face pinching functions in games are time-consuming and laborious, and it is difficult to achieve a face pinching effect that fully meets psychological expectations.
Innovation Solution
A method and apparatus for generating a face model by performing feature extraction on an input face image from geometric and visual dimensions, classifying and identifying facial features, and establishing a mapping relationship between these features and face pinching parameters to automatically generate a face model that meets user demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual face pinching is used to allow greater degree of freedom for customization, then the flexibility and control over facial features are improved, but the time consumption and labor required increase significantly
Solution Approach 1:
The system performs automatic face pinching by capturing user photos and using AI algorithms to automatically adjust facial features, replacing manual operation with self-service automation. The computer executes the face pinching process autonomously based on captured images, eliminating the need for users to manually adjust each parameter while maintaining customization capabilities.
Solution Approach 2:
The patent replaces the mechanical manual adjustment system with an automated computational system. Instead of users manually sliding controls and adjusting parameters, the system uses photo capture, feature point detection, and algorithmic processing to automatically generate the pinched face effect, substituting mechanical interaction with computational automation.
2Manufacturing precision
If manual face pinching operation is used, then the control precision over facial features can be achieved, but the operational complexity and difficulty increase
Solution Approach 1:
The system automatically performs feature detection and adjustment based on captured photos, eliminating the need for users to manually control each facial parameter. The computer autonomously identifies feature points and applies appropriate transformations, maintaining precision while greatly simplifying operation to just photo capture and result generation.
Solution Approach 2:
The patent extracts the complex manual adjustment operations from the user interface, leaving only simple photo capture and result display for the user. The intermediate complex steps of feature point selection, parameter adjustment, and coordinate transformation are automatically performed by the system, removing operational burden while preserving precision.
3Productivity
If automated face pinching is implemented, then the time consumption is reduced, but the system complexity increases
Solution Approach 1:
The automated face pinching system is divided into distinct functional modules: photo capture module, feature point detection module, coordinate transformation module, and result generation module. Each module handles a specific task independently, making the complex system manageable through functional segmentation and modular design.
Solution Approach 2:
The patent introduces intermediate processing layers including feature point detection algorithms and coordinate transformation routines that bridge the simple photo capture input and the final face pinching output. These intermediary computational steps automatically handle the complexity of transformation while maintaining a simple user interface.
4Measurement precision
If feature extraction from multiple dimensions is performed, then the accuracy of face model generation is improved, but the computational complexity increases
Solution Approach 1:
The feature extraction process is segmented into geometric dimension analysis and visual dimension analysis, with each dimension processed separately through dedicated algorithms. Geometric features extract shape and position information while visual features extract color and texture information, allowing precise multi-dimensional feature extraction through divided computational tasks.
Data Source
AI summary
A method and apparatus for generating a face model, a storage medium, a processor, and a terminal are provided. The method includes that: feature extraction is performed on a currently input face image from at least one dimension to obtain a plurality of facial features; classification and identification are performed according to the plurality of facial features to obtain a facial feature identification result; a mapping relationship between the multiple facial features and face pinching parameters set in a current face pinching system is acquired; and a corresponding face model is generated according to the facial feature identification result and the mapping relationship. The present disclosure solves the technical problem that a manual face pinching function provided in a game in the related art is time-consuming and laborious, and it is difficult to obtain a face pinching effect that fully meets psychological expectations.