Optimizing Motion Capture Camera Configuration
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Solution Overview
Problem
Current optical motion capture systems are expensive due to the high cost of motion capture cameras, and there is a lack of effective methods for properly configuring the number of cameras to achieve optimal capture effect while minimizing costs.
Innovation Solution
A method and apparatus for determining the optimal camera configuration by calculating various camera configuration modes based on factors affecting capture effect, including the number of visible cameras and total cameras, to determine a final configuration mode that balances capture effect and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of motion capture cameras is increased, then the capture effect is improved, but the system cost increases
Solution Approach 1:
The patent performs preliminary simulation and calculation before actual camera deployment. It pre-calculates the optimal camera configuration by simulating different camera arrangements and their coverage effects, allowing the system to determine the minimum number of cameras needed for optimal capture before purchasing and installing actual hardware.
Solution Approach 2:
The patent changes the parameter of camera quantity from a fixed high number to a dynamically optimized number. By using simulation technology, it calculates the exact number of cameras needed based on the specific measurement space requirements, transforming the traditional approach of using maximum cameras to a data-driven optimization of camera quantity.
2Quantity of substance
If the number of motion capture cameras is reduced, then the system cost is reduced, but the capture effect deteriorates
Solution Approach 1:
Before reducing camera numbers, the system performs preliminary simulation to verify that the reduced configuration still achieves adequate coverage. The simulation predicts the capture effectiveness of fewer cameras, allowing informed reduction while maintaining acceptable measurement quality.
Solution Approach 2:
The patent creates a virtual copy of the physical camera system through simulation. This digital model allows testing and optimization of camera configurations without actual hardware, enabling the determination of minimum effective camera numbers through virtual experimentation before physical deployment.
3Quantity of substance
If camera configuration is optimized for cost efficiency, then the system cost is reduced, but the capture effect may be compromised
Solution Approach 1:
The patent optimizes the camera quantity parameter by calculating the exact number needed for optimal capture effectiveness. Instead of using fixed high or low numbers, it dynamically determines the optimal camera count based on simulation results, achieving the best balance between cost efficiency and capture quality.
Solution Approach 2:
The simulation system provides feedback on camera configuration effectiveness by calculating coverage metrics for different camera arrangements. This feedback loop allows continuous optimization of camera quantity and position to achieve maximum capture effectiveness with minimum camera numbers.
Data Source
AI summary
A camera configuration method includes determining, in a preset view region, a preset number of camera configuration modes and visible cameras of each test point, according to a total number of cameras, calculating one or more cost values of each camera configuration mode, according to one or more factors that affect a capture effect, and calculating a configuration cost value of each camera configuration mode, according to the one or more cost values of each camera configuration mode, to determine a final camera configuration mode.