Image Authentication Using Location-Specific Similarity Parameters
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Solution Overview
Problem
Existing human figure authentication technologies face challenges in accurately recognizing individuals under varying imaging conditions, particularly due to differences in camera installation locations and lighting conditions, and require users to prepare multiple registered images corresponding to various conditions, which is inconvenient.
Innovation Solution
An image authentication apparatus that computes a similarity degree calculation parameter specific to each camera installation location, using a feature amount vector space and Mahalanobis matrix, and provides a user interface to display registration status, allowing efficient registration of images under specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple registered images corresponding to various imaging conditions are prepared, then authentication accuracy is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system performs preliminary classification of imaging conditions (time of day, season, weather) and pre-computes appropriate similarity degree calculation parameters for each condition category. When authentication is needed, the system automatically selects the parameter corresponding to the current condition category without requiring users to manually prepare multiple registered images for each possible condition.
Solution Approach 2:
The system changes the parameter used for similarity degree calculation based on the classified imaging condition. Different similarity degree calculation parameters are stored and selected according to the current condition category (e.g., morning/afternoon/night, season, weather), allowing accurate authentication across varying conditions while maintaining a simple registration process.
2Measurement precision
If multiple registered images corresponding to various imaging conditions are prepared, then authentication accuracy is improved, but ease of operation worsens
Solution Approach 1:
The system performs preliminary classification of imaging conditions (time of day, season, weather) and pre-computes appropriate similarity degree calculation parameters for each condition category. When authentication is needed, the system automatically selects the parameter corresponding to the current condition category without requiring users to manually prepare multiple registered images for each possible condition.
Solution Approach 2:
The system automatically classifies the current imaging condition and selects the appropriate similarity degree calculation parameter without user intervention. The condition classification unit autonomously determines the current condition category based on imaging data, eliminating the need for users to manually select or remember which registered image to use for their current situation.
3Measurement precision
If a similarity degree calculation parameter specific to camera installation location is computed, then authentication accuracy is improved, but device complexity worsens
Solution Approach 1:
The system computes and stores different similarity degree calculation parameters for different camera installation locations and condition categories. Each location- condition combination has its own optimized parameter, allowing the system to adapt to local characteristics (specific camera positioning, lighting conditions, environmental factors) while maintaining manageable complexity through structured organization of parameters by location and condition type.
Data Source
AI summary
An image authentication apparatus includes a registration unit, a parameter computing unit, a similarity degree calculation unit, a status acquisition unit, and a generation unit. The registration unit is configured to register an image of an object to be authenticated in a registration dictionary as a registered image. The parameter computing unit is configured to compute a parameter based on the registered image. The parameter is computed for a degree of similarity between an image of the object and the registered image. The similarity degree calculation unit is configured to calculate a degree of similarity between an image of the object and the registered image, using the parameter. The status acquisition unit is configured to acquire a registration status of the registered image. The generation unit is configured to generate a display screen including the registration status, and to output the generated display screen.