Camera Selection System for Multi-View Image Distribution
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Solution Overview
Problem
Existing multi-view image distribution systems lack a method for effectively selecting cameras from a large number of cameras capturing the same scene, making it difficult to display desired images without manual intervention from viewers.
Innovation Solution
A method and system that utilize sensors in cameras to obtain positions and image capture angles, allowing a processor to select a subset of cameras with non-overlapping images that comprehensively cover a target area or subject, and dynamically switch cameras based on tracking and evaluation criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a large number of cameras are used to capture images of the same scene, then comprehensive coverage of the scene is improved, but the complexity of selecting appropriate cameras for display increases
Solution Approach 1:
The system enables cameras to automatically select appropriate cameras for image distribution based on their own capture angles and positions, without requiring manual intervention. The processor autonomously evaluates camera data and makes selection decisions, allowing the system to serve itself in resolving the complexity of camera selection while maintaining comprehensive scene coverage
Solution Approach 2:
The system changes the parameters used for camera selection from manual or simple criteria to automated evaluation based on capture angles, positions, and overlap analysis. By transforming the selection process into a parameter-driven automated system, the complexity of managing large numbers of cameras is reduced while maintaining comprehensive coverage
2Manufacturing precision
If manual selection of cameras is required, then image quality can be controlled, but the ease of operation deteriorates
Solution Approach 1:
The processor automatically performs camera selection based on captured image data and evaluation criteria, eliminating the need for manual camera selection operations. The system self-manages the selection process while maintaining image quality control through automated evaluation of capture angles, positions, and content relevance
Solution Approach 2:
The system implements feedback mechanisms where the processor continuously evaluates camera capture data, compares it against distribution requirements, and automatically adjusts camera selection decisions. This closed-loop feedback ensures image quality control is maintained while eliminating manual operations
3Device complexity
If cameras with overlapping images are selected, then the number of cameras can be reduced, but blind spots in scene coverage may occur
Solution Approach 1:
The system selects a subset of cameras from the available N cameras based on evaluation criteria, using partial action to choose only the necessary M cameras for distribution. This partial selection process ensures that sufficient cameras are chosen to maintain complete scene coverage without selecting redundant overlapping cameras, thus balancing the number of cameras with coverage completeness
Data Source
AI summary
In a method, M (M is a natural number smaller than N) cameras capturing images to be displayed are selected from N (N is a natural number equal to or larger than 2) cameras capturing images of a same scene. The method includes obtaining positions and image capture angles of the N cameras and selecting M cameras from the N cameras on the basis of the obtained positions and image capture angles of the N cameras.