Face Recognition Using Background Foreground Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional face recognition systems using RGB cameras are vulnerable to being deceived by photos due to unstable reflection effects and light source variations, affecting recognition efficiency.
Innovation Solution
A face recognition method and system that captures the background and foreground of an image using an RGB camera, determines the face region of interest, and compares it to authenticate the face, employing algorithms like Dilb face detection and pixel projection to differentiate between authentic and photo faces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional face recognition systems use RGB cameras without additional sensors, then the device complexity is reduced and ease of operation is improved, but the reliability of face recognition deteriorates due to vulnerability to photo deception
Solution Approach 1:
The system uses the RGB camera's own captured image data to perform authentication without requiring external sensors or additional equipment. The background image and foreground face are processed using algorithms that analyze inherent image characteristics, allowing the system to self-verify authenticity using its existing capabilities
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes the relationship between the background image and foreground face. By processing the image data through specific algorithms that compare background consistency with face characteristics, the system creates an intermediary verification mechanism that enhances reliability without adding physical sensors
2Measurement precision
If the system uses reflection effect and brightness characteristics to distinguish authentic faces, then the recognition capability is improved, but the stability of recognition deteriorates due to sensitivity to light source variations
Solution Approach 1:
The system changes the analysis parameters from traditional reflection and brightness characteristics to background image characteristics and their relationship with the face. By analyzing the background image's consistency and its interaction with the face region, the system achieves more stable recognition that is not affected by light source variations
Solution Approach 2:
The patent shifts the analysis from the two-dimensional surface characteristics (reflection and brightness) to a three-dimensional spatial relationship analysis between the background image and the face. By examining the dimensional relationship and consistency between these elements, the system achieves more stable and reliable authentication
Data Source
AI summary
A face recognition method includes capturing a background of an image; after determining that a face exists in the image, determining a face region of interest (ROI) of the face; capturing a foreground of the image with the face; and comparing the face ROI and the foreground of the image to determine whether the face is authentic or not.