Cross-Space Face Association for Composite Image Alignment
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Solution Overview
Problem
Existing technologies struggle to effectively manage and integrate multiple faces of a user appearing in different spaces, such as virtual and real environments, which have varying appearances, complicating the creation of composite images and event synchronization.
Innovation Solution
An image processing device and method that associates faces with known and unknown feature values, allowing for the integration of faces with different appearances across multiple spaces, and creates composite images by selecting and aligning relevant images based on user designation and scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple faces with different appearances from various spaces are treated as separate entities, then face management becomes simpler, but composite image creation and user identification become inaccurate
Solution Approach 1:
The patent merges multiple faces with different appearances that belong to the same user into a unified face group managed by a single user ID. This combining approach allows the system to treat diverse facial representations (from different spaces, virtual or real) as a cohesive entity, thereby improving recognition accuracy while maintaining manageable complexity through centralized organization.
Solution Approach 2:
The face management system is designed to universally handle multiple types of faces (real-space faces, virtual-space avatar faces, and intermediate representation faces) under a single framework. This multi-functional capability allows the same management mechanism to process diverse facial data without requiring separate systems, thus improving accuracy without proportionally increasing complexity.
2Adaptability or versatility
If faces from different spaces are integrated into a single composite image, then user representation becomes more comprehensive, but image processing complexity increases
Solution Approach 1:
The patent segments the composite image creation process into distinct stages: face detection in individual images, face grouping by user identity, and composite image generation. This segmentation allows each processing stage to be handled independently with appropriate algorithms, making the overall complex task of integrating multiple space faces manageable through systematic breakdown.
Solution Approach 2:
The system performs preliminary actions by pre-grouping faces according to user identities before composite image creation. Faces are detected, extracted, and organized into user-specific groups in advance, so that when composite images need to be generated, the processing is simplified to assembling pre-organized face data rather than searching and matching from raw images.
3Reliability
If face association across multiple spaces is implemented, then event synchronization improves, but data processing time increases
Solution Approach 1:
The patent uses copying by creating simplified face representation data (feature vectors, extracted facial characteristics) that can be quickly compared and matched across different spaces. Instead of processing entire images for each comparison, the system copies and uses these condensed facial identifiers for rapid association, thereby improving event synchronization accuracy without excessive processing time.
Data Source
AI summary
An image processing device includes a processor configured to acquire a plurality of images showing a plurality of different spaces including at least one virtual space in which an avatar of a user acts, and associate a plurality of faces that are shown in the images, that correspond to the same user, and that have different appearances in the plurality of spaces, with each other.