Animated Face Producing System Distortion Normalization
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Solution Overview
Problem
Current animation technologies face challenges in effectively utilizing facial images to produce animated faces, particularly in normalizing and processing facial images to account for variations in position, size, and distortion, which affects the quality of the animated output.
Innovation Solution
An electronic device with an animated face producing system that includes modules for obtaining, processing, and displaying animated faces, utilizing facial image detection algorithms and normalization techniques to identify and correct distortions in facial attributes, ensuring consistent and high-quality animation by comparing attributive areas to average surface areas and processing the most distorted areas for output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If facial images are processed without normalization to preserve original details, then image authenticity is maintained, but variations in position, size, and distortion affect animation quality
Solution Approach 1:
The system performs preliminary normalization processing on facial images before animation generation. The normalization module standardizes facial images by adjusting position, size, and distortion parameters in advance, ensuring that all input images meet consistent requirements before being processed by the animation generation module, thereby resolving the contradiction between maintaining authenticity and handling variations.
2Manufacturing precision
If facial images are normalized to ensure consistency, then animation quality is improved, but processing complexity increases
Solution Approach 1:
The system segments the processing task into distinct functional modules: a normalization module that handles position, size, and distortion correction, and an animation generation module that creates the final animation. This segmentation allows each module to specialize in specific tasks, improving animation consistency while managing processing complexity through modular design.
3Manufacturing precision
If all facial image parameters are processed to eliminate distortion, then animation quality is improved, but processing time increases
Solution Approach 1:
The normalization module applies different processing intensities to different facial attributes based on their distortion levels. Critical attributes with high distortion (such as eyes, nose, mouth) receive more intensive normalization processing, while attributes with minimal distortion receive lighter processing. This local quality approach ensures high facial attribute accuracy for key features while reducing overall processing time.
Data Source
AI summary
An electronic device includes a display screen, a processor, and a memory. The processor is configured to obtain attributive information of a facial image, divide the facial image into different attributive portions according to the attributive information, calculate a surface area of each attributive area, determine whether any one of the attributive areas is a distorted area, arrange the attributive areas, when one of the attributive areas is a distorted area, according to a degree of distortion from a largest degree of distortion to a smallest degree of distortion, and process a preset number of the attributive areas having the largest degree of distortion.