Virtual Face Image Deformation Using Limit Feature States
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Solution Overview
Problem
The production of three-dimensional virtual images is challenging due to the complexity of image art design, character model production, animation skeletal binding, and the need for motion capture technology, leading to high costs and implementation difficulties.
Innovation Solution
An image processing method that involves acquiring current feature information of a detection object, calculating limit deformation information, and determining movement information of feature points in an initial virtual image by superimposing virtual sub-images to generate a current virtual image, reducing the need for animation skeletal binding and specific drawing software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional methods (image art design, character model production, animation skeletal binding, motion capture technology, holographic hardware, specific drawing software) are used to generate virtual images, then the virtual image can be produced with high quality, but the production cycle becomes long and implementation costs become high
Solution Approach 1:
The patent extracts the essential feature representation capability from complex traditional pipelines. Instead of using full character models with skeletal binding and motion capture hardware, the invention extracts only the necessary feature point information (landmarks, expressions, poses) and directly maps them to virtual image deformation, eliminating unnecessary intermediate steps while maintaining visual quality
Solution Approach 2:
The patent creates a simplified copy of the traditional pipeline by using pre-computed limit deformation information that captures the essential transformations. This limit deformation data serves as a compressed representation that can be directly applied to generate virtual images without requiring the full complexity of original motion capture and animation pipelines
2Manufacturing precision
If traditional methods (image art design, character model production, animation skeletal binding, motion capture technology, holographic hardware, specific drawing software) are used to generate virtual images, then the virtual image can be produced with high quality, but the implementation costs become high
Solution Approach 1:
The patent removes expensive components from the traditional pipeline including motion capture hardware, holographic equipment, and complex animation software. By extracting only the essential feature detection and limit deformation calculation, the invention achieves the same visual results with significantly reduced implementation costs and simpler technology stacks
Solution Approach 2:
The patent replaces expensive, complex, and long-lasting infrastructure (motion capture studios, holographic hardware, specialized animation software) with simpler, more affordable computational methods that use standard processing units and algorithms, dramatically reducing the barrier to entry and implementation costs
3Productivity
If feature points in the initial virtual image are driven to move according to movement information, then the virtual image can represent the current state of the detection object in real-time, but the complexity of calculating and processing the movement information increases
Solution Approach 1:
The patent performs preliminary calculations by pre-computing limit deformation information for various feature states. This pre-computed data is stored and can be directly retrieved and applied during real-time operation, eliminating the need for complex real-time calculations and reducing processing complexity while maintaining high generation speed
Solution Approach 2:
The patent simplifies the processing complexity by changing the representation parameters from complex 3D model transformations to simpler feature point displacement vectors. By working with deformation information rather than full geometric transformations, the system achieves real-time performance with reduced computational burden
Data Source
AI summary
An image processing method and apparatus, an electronic device, and a computer-readable storage medium are provided. The image processing method includes: in response to having detected a detection object, acquiring current feature information of the detection object; acquiring limit deformation information of the target feature, wherein the limit deformation information is obtained by calculating a target virtual sub-image when the target feature is in at least one limit state; determining movement information of a feature point in an initial virtual image based on the limit deformation information and the current feature information, wherein the initial virtual image is obtained by superimposing a plurality of virtual sub-images; and driving, according to the movement information, the feature point in the initial virtual image to move, so as to generate the current virtual image corresponding to the current state.