Multi-Unit Imaging Support for Undistorted Face Capture
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Solution Overview
Problem
Existing face recognition systems face challenges in capturing undistorted face images, especially when subjects are tall, as imaging units arranged vertically can cause lens distortion, making it difficult for individuals to determine the optimal direction for image capture.
Innovation Solution
An imaging support apparatus that includes multiple imaging units arranged vertically, a processor to extract face areas from captured images, and a suggestion unit that directs the subject to align their face with the imaging unit minimizing distortion by emitting light towards the appropriate unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple imaging units are arranged vertically to capture face images, then the coverage area increases and more subjects can be imaged, but lens distortion increases making face recognition difficult
Solution Approach 1:
The system segments the imaging task by assigning different imaging units to capture different body regions. The imaging unit positioned at eye level is specifically designated for face imaging, while other units handle body parts. This segmentation ensures that face images are captured by the most appropriate imaging unit, minimizing distortion.
Solution Approach 2:
The system performs preliminary analysis by extracting face areas from images captured by multiple imaging units and evaluating their suitability. Based on this preliminary evaluation, it determines which imaging unit is most suitable for face imaging before proceeding with recognition, thereby avoiding distorted images.
2Adaptability or versatility
If imaging units are positioned at different heights, then subjects of different heights can be captured, but it becomes difficult for subjects to determine the optimal direction for face imaging
Solution Approach 1:
The system provides visual feedback by displaying suitability information (such as arrows or highlights) that indicates which imaging unit is most suitable for capturing the subject's face. This feedback guides subjects to orient themselves correctly toward the appropriate imaging unit, making the system easy to use despite multiple imaging units at different heights.
3Adaptability or versatility
If face images are captured from various directions by multiple imaging units, then recognition coverage is improved, but selecting the most suitable image for recognition becomes complex
Solution Approach 1:
The system replaces manual image selection with automated computational processing. It extracts face areas from images captured by multiple imaging units, evaluates their suitability based on distortion and quality metrics, and automatically selects the most suitable image for recognition, thereby simplifying the process.
Data Source
AI summary
According to an embodiment, an imaging support apparatus includes a memory and a processor. The processor acquires a plurality of images obtained by imaging a face of a subject by a plurality of imaging devices. The processor extracts a face area from each of the plurality of images. The processor specifies a certain imaging device as an imaging device suitable for imaging the face of the subject face among the plurality of imaging devices based on a position of the face area in each of the plurality of images. The processor causes a suggestion device to suggest a direction toward which the face of the subject is to be directed for imaging the face of the subject by the certain imaging device.