Imaging System for Photographer Attribution Without Pre-Acquired Features
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Solution Overview
Problem
Existing methods for authenticating a user of an imaging apparatus fail when suitable identification information is unavailable during imaging.
Innovation Solution
An information processing system that associates captured images with photographer information by acquiring and verifying first and second features, allowing for identification even if initial identification information is absent, through a recording and determining process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authentication is performed using pre-acquired first feature information, then identification accuracy is improved, but the system cannot handle cases where imaging is performed before feature information is available
Solution Approach 1:
The system performs preliminary acquisition of first feature information (face images, iris images, etc.) and stores it in advance. When imaging is performed, the system attempts to use this pre-acquired information for authentication. This preliminary action ensures that when feature information is available, accurate identification can be performed, while the system is also prepared to handle cases where such information was not previously acquired.
Solution Approach 2:
The system dynamically adapts its authentication approach based on the availability of first feature information. When imaging is performed before feature information is acquired, the system switches to using second feature information (eye images captured at imaging time) for authentication. This dynamic adjustment allows the system to maintain operational versatility while preserving identification accuracy when conditions permit.
2Reliability
If the system requires first feature information to be available before imaging, then identification reliability is improved, but productivity is reduced due to inability to process images taken before registration
Solution Approach 1:
The system introduces second feature information (eye images captured at the time of imaging) as an intermediary authentication mechanism. When first feature information is unavailable, the system uses this second set of features to perform verification. This intermediary approach allows the system to maintain identification reliability while enabling processing of images taken before formal registration, thus improving productivity without sacrificing security.
3Adaptability or versatility
If the system uses only second feature information for authentication, then adaptability is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically selects the authentication method based on data availability. When first feature information is available, the system uses it for higher precision verification. When only second feature information is available (captured at imaging time), the system adapts by using this information, accepting a trade-off in precision for the sake of authentication availability. This dynamic approach optimizes the balance between adaptability and measurement precision across different operational scenarios.
Data Source
AI summary
In a case where imaging is performed in a state where registrant feature information corresponding to user feature information is not detected, an imaging apparatus performs recording control for recording a captured image obtained by the imaging and the user feature information in association with each other in a memory. If registrant feature information is acquired after that, based on the registrant feature information and the user feature information recorded in the memory, the imaging apparatus determines photographer information that is to be associated with the captured image associated with the user feature information.