Adaptive Projector Hybrid Depth Detection for 3D Face Recognition
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Solution Overview
Problem
Existing face recognition technologies in mobile devices face bottlenecks in performance improvement, leading to potential security issues due to limitations in depth detection accuracy.
Innovation Solution
A hybrid depth detection method utilizing an adaptive projector, which includes an image processing circuit to determine distance ranges and select appropriate projection types, and an adaptive projector to capture images and generate depth maps, allowing for accurate and efficient 3D face recognition by combining depth data from multiple detection types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single depth detection method is used, then the device complexity is low, but the measurement precision of depth detection is insufficient
Solution Approach 1:
The patent divides the depth detection task into multiple segments by using different projection types (pattern projection and non-pattern projection) for different distance ranges. The image processing circuit segments the detection process by selecting appropriate projection types based on detected distance, allowing each method to optimize for its specific range rather than using a single complex system for all distances.
Solution Approach 2:
The patent implements dynamic adaptation by making the projection type selection variable based on the detected distance range. The system dynamically switches between pattern projection and non-pattern projection methods according to the actual detection scenario, optimizing measurement precision for each specific situation rather than using a fixed single-method approach.
2Measurement precision
If multiple projection types are used for different distance ranges, then the measurement precision is improved, but the ease of operation increases
Solution Approach 1:
The system performs self-service by automatically selecting the appropriate projection type based on the detected distance range. The image processing circuit autonomously determines which projection method (pattern or non-pattern) to use without requiring manual intervention, thereby maintaining ease of operation while achieving high measurement precision through adaptive method selection.
Solution Approach 2:
The patent implements feedback control where the image processing circuit continuously monitors the detected distance and adjusts the projection type selection accordingly. This closed-loop feedback mechanism ensures the system automatically adapts to changing detection scenarios, maintaining optimal measurement precision without increasing operational complexity for the user.
Data Source
AI summary
A method for performing hybrid depth detection with aid of an adaptive projector and associated apparatus are provided. The method includes: utilizing an image processing circuit to obtain distance information; utilizing the image processing circuit to determine a distance range according to the distance information; utilizing the image processing circuit to perform projection type selection to determine at least one selected projection type corresponding to the distance range among multiple predetermined projection types; utilizing the adaptive projector to perform projection of the at least one selected projection type to capture at least one corresponding image with a camera, and utilizing the image processing circuit to perform depth detection according to corresponding image to generate depth map; and utilizing the image processing circuit to selectively output the depth map as resultant depth map or perform depth data combination to generate combined depth map as resultant depth map.