Eye Aperture Detection for Masked Face Impersonation Screening
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Solution Overview
Problem
Existing information processing systems struggle to accurately determine if a person is impersonating another by wearing a mask with eye apertures, leading to erroneous determinations due to the exposure of the target's eyes through the mask apertures.
Innovation Solution
An information processing apparatus and method that analyze the presence of eye apertures in a person's image to determine if the target person is impersonating another by detecting edges or using learnable models to identify mask apertures enclosing the eyes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional impersonation detection methods are used, then the system can process images efficiently, but the accuracy deteriorates when masks with eye apertures are involved
Solution Approach 1:
The patent segments the face detection process by specifically isolating the eye region analysis from the overall face detection. The determination unit separately identifies apertures in the eye area and uses this segmented information to make impersonation determinations, thereby improving accuracy for masked faces without compromising overall system efficiency
Solution Approach 2:
The patent performs preliminary analysis of the eye area by detecting apertures before making the final impersonation determination. The acquisition unit first acquires the person image and the determination unit identifies aperture presence in the eye region, which prepares the basis for accurate impersonation detection involving masks
2Measurement precision
If the system focuses on detecting eye apertures to improve mask detection, then accuracy for masked impersonation improves, but the complexity of the detection system increases
Solution Approach 1:
The patent extracts the eye area detection function as a separate, dedicated component within the determination unit. By taking out the aperture detection task from general face detection and treating it as a distinct function, the system achieves high mask detection accuracy while maintaining manageable complexity through functional separation
Solution Approach 2:
The determination unit is designed with multi-functionality, serving both general face detection purposes and specific aperture detection for mask identification. This universal component handles multiple detection tasks, reducing the need for separate specialized systems and thereby controlling overall system complexity
Data Source
AI summary
An information processing apparatus (2) includes an acquisition unit (211) configured to acquire a person image (IMG) including an eye area (EA) of a target person, and a determination unit (212) configured to determine that the target person impersonates another person in the case where an aperture (AP) enclosing at least a part of an eye of the target person is present in the person image.