Facial Image Processing Using Gaze-Head Angle Differences
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Solution Overview
Problem
Existing facial recognition technologies are vulnerable to spoofing attacks, particularly using three-dimensional masks, which can falsely authenticate individuals, compromising security.
Innovation Solution
An image processing device and method that calculates the gaze angle and head angle of a subject from multiple images and determines authenticity based on the differences between these angles to differentiate between a living person and a spoofing attempt.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition uses traditional image capture and analysis methods, then the recognition process is simple and fast, but the system becomes vulnerable to spoofing attacks using photographs, video images, masks, or three-dimensional masks
Solution Approach 1:
The patent transitions from two-dimensional image analysis to three-dimensional spatial analysis by calculating gaze angles and head angles from multiple captured images. This dimensional expansion enables the system to detect inconsistencies between eye gaze direction and head orientation that are invisible in traditional 2D analysis, thereby identifying three-dimensional masks and other spoofing attempts while maintaining processing efficiency through algorithmic optimization
2Measurement precision
If the system captures multiple images to improve authentication accuracy, then the ability to detect spoofing improves, but the processing time and computational load increase
Solution Approach 1:
The patent extracts specific geometric features (gaze angle and head angle) from the multiple captured images rather than processing the complete image data. By isolating and analyzing only these critical angular parameters derived from facial landmark detection, the system achieves high authenticity detection accuracy while significantly reducing computational complexity and processing time compared to full image analysis
3Productivity
If the system uses simple threshold comparison to determine authenticity, then the processing is fast, but it cannot properly recognize living subjects when spoofing methods are attempted
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously compares the calculated gaze angle and head angle against each other and against pre-established thresholds. This feedback loop enables real-time detection of inconsistencies between eye gaze direction and head orientation, allowing the system to quickly identify spoofing attempts while maintaining high processing speed through efficient angular calculation algorithms
Data Source
AI summary
An image processing device includes a receiver configured to receive a plurality of images of a subject from a camera; and a processor configured to: calculate, for each of the plurality of images, an angle difference between a gaze angle and a head angle of the subject to obtain a series of angle differences; and determine an authenticity of the subject at least based on the series of angle differences.