Age-Based Face Recognition Data Selection
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Solution Overview
Problem
Face recognition systems struggle with accuracy when representation data becomes outdated due to changes in a person's appearance over time, as they rely on training data generated beforehand, leading to potential misidentification.
Innovation Solution
A face recognition apparatus that includes a representation data tester to determine if the stored data is outdated and a selector to choose the most accurate representation data based on the age difference and actual age of the subject, allowing for re-training with more recent images when necessary, and a system that generates and selects representation data for different ages to ensure accurate recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If representation data is generated beforehand during training, then the face recognition system can operate efficiently, but the accuracy deteriorates over time as people's faces change
Solution Approach 1:
The system dynamically selects between different representation data based on the current date and stored date information, making the face recognition system adaptable to temporal changes in appearance while maintaining efficient operation with pre-generated data
Solution Approach 2:
The system changes the parameter of representation data selection based on date comparison, switching between using stored representation data and alerting for re-training depending on whether the age gap exceeds the threshold
2Speed
If the system uses stored representation data without verification, then processing is fast, but misidentification occurs when data is outdated
Solution Approach 1:
The system performs preliminary verification by comparing date information before conducting face recognition, identifying outdated representation data in advance to prevent inaccurate identification
Solution Approach 2:
The date comparison mechanism acts as an intermediary between the stored representation data and the face recognition process, determining whether the data is still valid for accurate identification
Data Source
AI summary
In an image processing apparatus, a face recognizer is trained using images of one or more faces to generate representation data for the face recognizer characterising the face(s). Face recognition processing is then performed using the representation data. The training and face recognition processing is performed taking into account a person's age.