Face Recognition Image Organization via Segmentation
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Solution Overview
Problem
Current online digital image management systems lack advanced organization features, particularly in identifying and managing faces within images, limiting users to basic album organization and storage without internal order or advanced image manipulation.
Innovation Solution
A system and method for organizing images based on face recognition, utilizing automated face detection and portrait matching, with features like automated and manual identification, image editing, and dynamic album generation, allowing users to manage and view images by identified faces and relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If basic album organization is used, then storage capacity is improved, but organization capability deteriorates
Solution Approach 1:
The patent segments images by detecting and extracting faces, separating them into identifiable portrait entities. This allows images to be organized not just by album but by detected facial features, creating multiple organizational dimensions simultaneously
Solution Approach 2:
The patent introduces face detection and portrait matching as intermediary processes between image upload and organization. These intermediaries automatically identify and extract facial features, enabling sophisticated organization without increasing storage requirements
2Adaptability or versatility
If automated face detection is implemented, then organization capability is improved, but device complexity deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting faces, matching portraits, and organizing images without requiring user intervention. The automated face detection and portrait matching processes operate independently, reducing the need for complex user interfaces and manual organization tools
Solution Approach 2:
Face detection and portrait matching are performed preliminarily during the upload process rather than on-demand. This preliminary organization of facial data creates an index that simplifies subsequent retrieval and organization operations
3Adaptability or versatility
If face recognition features are added, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
The face recognition system operates autonomously, automatically detecting and organizing images by face without requiring users to manually tag or categorize them. This self-organizing capability maintains ease of operation while dramatically improving adaptability
Data Source
AI summary
Embodiments of the invention include a system and set of processes for organizing image collections. The system detects individuals in each image uploaded into the system using facial recognition or similar methods. The user and viewers of the images may then view dynamic albums based on the interrelationships of individuals in images. Users and viewers may browse all images with an individual or see albums of images with two selected individuals or similar combinations based on the relationships between users.