Avatar Image Capture by Preset Head Orientation
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Solution Overview
Problem
Existing methods for recording data to generate avatars are cumbersome, require specific camera types for depth maps, gather excessive data, and are not user-friendly, leading to inefficiencies in processing and user experience.
Innovation Solution
A method involving automatic high-resolution image capture based on preset head orientations, using static and dynamic recording modes, and real-time guidance for optimal illumination and alignment, allowing for efficient data collection with reduced user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If continuous video recording is used to capture facial expressions, then dynamic facial expression data is obtained, but the amount of data increases significantly requiring large processing capabilities
Solution Approach 1:
The recording process is segmented into multiple discrete photo captures at different head orientations rather than continuous video. The system captures images at specific angular positions (e.g., 0°, 15°, 30°, 45°, 60°, 75°, 90°) which provides sufficient facial expression data while dramatically reducing the total data volume compared to continuous recording.
Solution Approach 2:
The system uses periodic sampling of the user's face at predetermined angular orientations rather than continuous recording. This periodic capture approach maintains the essential information needed for avatar generation while minimizing data accumulation, allowing the system to process only the necessary discrete frames.
2Productivity
If automatic recording at preset orientations is used, then recording speed increases and user effort decreases, but the complexity of pose detection and image selection increases
Solution Approach 1:
The system performs self-service by automatically detecting head orientations and triggering recordings without requiring user intervention. The pose detection algorithm continuously monitors the user's head position and automatically captures images when preset orientations are reached, eliminating the need for manual button pressing or user guidance through complex interfaces.
Solution Approach 2:
The manual mechanical action of pressing a recording button is replaced with an automated computer vision-based pose detection system. The system uses image processing and machine learning to detect head orientations and automatically trigger captures, substituting mechanical user input with automated sensor-based detection.
3Manufacturing precision
If high-resolution images are captured at multiple orientations, then avatar generation precision improves, but the processing time and computational resources increase
Solution Approach 1:
The system applies local quality by capturing high-resolution images only at specific critical orientations where the user's head is positioned, rather than continuously recording at all possible angles. This selective high-resolution capture at key poses maintains the precision needed for accurate avatar generation while reducing overall processing requirements compared to full 360-degree continuous recording.
Data Source
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AI summary
A method for recording of data of a user for generating an avatar comprising recording a plurality of images representing different poses of a user's head. For recording the poses of a user's head, the orientation of the user's head is observed continuously by a camera and at least one high-resolution image is automatically recorded when preset orientations of the user's head are reached.