Face Recognition Using Pre-Processed Reference Images
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Solution Overview
Problem
Information processing systems using shot images are susceptible to environmental changes and require stable accuracy with minimal user burden, particularly in applications like user authentication and game input processing.
Innovation Solution
An information processing device and method that includes an image acquirer, a registered user information holder, and a face recognition section to detect and authenticate registered users using face identification data, allowing for accurate information processing with reduced user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face recognition is performed using only original face images, then the system is simple to implement, but the authentication accuracy decreases under varying environmental conditions
Solution Approach 1:
The system performs preliminary processing on face images during the registration phase to generate multiple processed versions (grayscale, edge-detected, feature-extracted images). These pre-processed images are stored alongside the original face image, so that when authentication is needed, the system can directly compare the live capture against these pre-prepared reference images without performing complex processing in real-time, thus improving accuracy while maintaining simplicity.
Solution Approach 2:
The system transforms face images into different parameter representations through various processing methods including grayscale conversion, edge detection, and feature extraction. By storing multiple parameter variations of the same face image, the system can adapt to different environmental conditions and lighting scenarios during authentication, improving reliability without requiring complex real-time processing.
2Reliability
If multiple processed face images are stored for each user, then authentication accuracy under varying conditions improves, but the storage requirements and data processing burden increase
Solution Approach 1:
The system performs image processing in advance during the registration phase, generating and storing multiple processed versions of each user's face image. This preliminary action ensures that when authentication occurs, the system can quickly compare against pre-processed references without needing to perform complex processing on the fly, thereby improving authentication stability while managing storage efficiently through advance preparation.
Solution Approach 2:
The system creates multiple copies of each user's face image in different processed forms (original, grayscale, edge-detected, feature-extracted). These copies are stored in the database alongside the original image, allowing the authentication system to select appropriate versions for comparison based on environmental conditions, thereby improving reliability while distributing the storage burden across multiple standardized copies.
3Ease of operation
If traditional button-based input devices are used, then the system is robust to environmental changes, but the user burden and operation complexity increase
Solution Approach 1:
The system enables users to perform authentication and input operations through automatic face recognition without requiring manual interaction with buttons or graphical interfaces. The camera captures the user's face image, and the system automatically compares it against stored reference images to identify and authenticate the user, eliminating the need for manual input operations and reducing user burden while maintaining environmental robustness through multiple processed image comparisons.
Data Source
AI summary
An information processing device includes an image acquirer that acquires a shot image of a user, a registered user information holder that holds face identification data of a registered user, a face recognition section that detects a face image of a registered user existing in the shot image by using face identification data held in the registered user information holder, and an information processing section that executes information processing based on a detection result by the face recognition section. The face identification data includes information on a face image of a user shot in advance and an after-processing image obtained by performing predetermined processing on the face image.