Face Feature Registration From User-Selected Image Regions
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Solution Overview
Problem
Existing face recognition services require users to register their faces directly, which limits the types of images that can be used and poses challenges in complying with AI ethics and legal restraints, especially when managing various images captured by users in a cloud environment.
Innovation Solution
An information processing system that allows users to designate specific regions in an image containing a person, obtain consent for feature registration, and register the feature information of that specific person, while ensuring compliance with AI ethics and legal restraints by not directly exchanging face images and reducing data storage costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If face images are directly captured and transmitted to the server for registration, then the registration process is simple and direct, but the system cannot handle images with multiple faces and raises privacy compliance issues
Solution Approach 1:
The system segments the image processing task by first detecting individual face regions within the uploaded image, then allowing selective registration of specific faces. This segmentation enables handling of multi-face images while maintaining user control over which faces to register
Solution Approach 2:
The system introduces an intermediary processing stage between image upload and registration, where face detection and region selection occur. This intermediary layer enables flexible handling of various image types while preserving privacy through selective consent acquisition
2Adaptability or versatility
If face images are stored and transmitted to the cloud server, then comprehensive face recognition service can be provided, but data security risks and legal compliance costs increase
Solution Approach 1:
The system extracts only the necessary face feature information after detection and consent, rather than storing complete face images. This extraction approach reduces data security risks while maintaining face recognition functionality
Solution Approach 2:
The system performs preliminary face detection and presents detected faces to the user for consent confirmation before any data transmission occurs. This preliminary action ensures compliance with privacy regulations by obtaining explicit user authorization
3Reliability
If consent is obtained from users before face registration, then legal compliance is improved, but the registration process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary face detection and prepares consent information before the actual registration step. This preliminary preparation streamlines the consent process by pre-processing image analysis, reducing overall complexity
Data Source
AI summary
An information processing apparatus of the present disclosure includes: a reception unit configured to receive a first image in which one or more persons are captured and designation of a specific region in the first image, from a user; and a registration unit configured to perform a registration process of registering feature information of a specific person included in the specific region among the one or more persons captured in the first image, and consent to registration of the feature information for the specific person is obtained from the user.