Avatar Generation System Using Multi-Timing Video Capture
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Solution Overview
Problem
Existing methods for generating avatars based on captured images often result in unsatisfactory outcomes due to variations in image capture conditions, such as brightness, color, and angle, leading to undesired avatars and requiring user pre-settings for skin color or hairstyle.
Innovation Solution
A portable information-processing device captures a video of a subject, using facial recognition to identify features and generate multiple avatars based on different image capture timings, allowing users to select their desired avatar without explicit recapture instructions, employing a system with image capture, generation, and display means to provide a range of avatar options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single captured image is used to generate an avatar, then the generation process is simple and fast, but the avatar accuracy and user satisfaction deteriorate due to variations in capture conditions
Solution Approach 1:
The system performs preliminary actions by capturing multiple images under varying conditions before avatar generation. Instead of waiting for perfect capture conditions, the system proactively captures a series of images with different brightness, color, and angle variations, then processes these pre-captured images to generate accurate avatars, thereby resolving the contradiction between generation speed and accuracy.
Solution Approach 2:
The system applies parameter changes by intentionally varying capture conditions (brightness, color, angle) across multiple images. By generating avatars from images with diverse parameter settings rather than a single fixed condition, the system achieves higher avatar accuracy while maintaining efficient processing through automated multi-parameter analysis.
2Manufacturing precision
If user pre-settings for skin color or hairstyle are required, then avatar accuracy can be improved, but the ease of operation deteriorates due to additional configuration steps
Solution Approach 1:
The system implements self-service by automatically analyzing captured images to extract skin color, hairstyle, and other appearance features without requiring user pre-settings. The avatar generation process autonomously determines these parameters from the image data itself, eliminating the need for manual user configuration while maintaining high avatar accuracy.
Solution Approach 2:
The system replaces the mechanical interaction of manual user configuration with automated image analysis processing. Instead of requiring users to manually set skin color or hairstyle parameters, the system uses computational algorithms to automatically extract these features from captured images, substituting user operation with automated mechanical processing.
3Adaptability or versatility
If multiple avatars are generated from different capture timings, then user options and satisfaction improve, but the device complexity and processing time increase
Solution Approach 1:
The system applies segmentation by dividing the avatar generation process into independent processing stages: capturing multiple images at different timings, analyzing each image separately to extract features, and generating individual avatars from each analysis. This segmented approach enables diverse avatar options while managing system complexity through modular, independent processing units.
Solution Approach 2:
The system uses periodic action by capturing images at regular time intervals and generating avatars periodically from each captured image. This structured periodic processing provides users with multiple avatar options from different capture timings while maintaining manageable system complexity through predictable, rhythmic operation cycles.
Data Source
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AI summary
An example information-processing device (10) includes an image capture means (110) for capturing a video of a subject, an image generation means (120) for generating plural avatars based on plural images constituting the video captured by the image capture means (110), the plural images corresponding respectively to different image capture timings, each of the plural avatars representing a subject shown in one of the plural images, and a display means (130) for displaying the plural avatars generated by the image generation means (120).