Motion Capture Camera Placement Optimization
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Solution Overview
Problem
Existing motion capture systems face inefficiencies in camera placement, leading to time-consuming and often unusable data collection, especially when the actor's movement is unknown until on-set, requiring a more efficient method to ensure optimal camera placement.
Innovation Solution
The generation of a virtual set based on the physical set information allows for simulation of actor or object movement, determining camera placement to ensure optimal visibility and coverage, using heat maps to indicate viewable regions and guiding the physical placement of motion capture cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of motion capture cameras are used to ensure reliable tracking of markers during actor movement, then the reliability of motion capture data is improved, but the device complexity and cost increase
Solution Approach 1:
The system performs preliminary action by generating a virtual set and simulating actor movements before the actual motion capture session. This allows camera positions to be pre-optimized based on predicted movement paths, ensuring reliable marker tracking without requiring an excessive number of cameras during the actual capture.
Solution Approach 2:
The invention creates a virtual copy of the physical set with virtual actors and markers. This virtual model is used to plan and optimize camera placements before the real motion capture session, allowing the system to determine optimal camera positions that will ensure reliable tracking without needing to use the maximum number of cameras simultaneously.
2Ease of operation
If motion capture cameras are placed using trial and error methods, then the ease of operation is improved, but the time consumption and data quality worsen
Solution Approach 1:
The system performs preliminary camera placement optimization by simulating the entire motion capture session in a virtual environment before the actual shoot. This allows all camera positions to be predetermined based on the actor's planned movements, eliminating the need for time-consuming trial and error adjustments during the actual motion capture session.
Solution Approach 2:
The virtual set acts as an intermediary between the physical set and the camera placement decision-making process. By working with the virtual model, operators can easily adjust and evaluate different camera configurations without physically moving cameras in the real set, saving significant time and effort.
3Productivity
If motion capture cameras are placed before the actor's movement is known, then the productivity is improved, but the measurement precision of marker positions worsens
Solution Approach 1:
The system performs preliminary simulation of the actor's movement in the virtual set to predict the range of motion and positions that need to be captured. Based on this simulation, camera positions are optimized in advance to ensure that all predicted marker positions will be within the cameras' fields of view, maintaining measurement precision while enabling early camera placement.
Solution Approach 2:
The system uses dynamic simulation of the actor's movement to determine camera placements. Rather than using static assumptions about actor positions, the virtual simulation dynamically traces the actor's movement path, allowing camera positions to be optimized for the entire range of motion, ensuring precision is maintained across all dynamic positions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables reliable and efficient capture of object motion by optimizing camera placement, reducing the need for trial and error and improving data quality by ensuring that markers are consistently tracked by multiple cameras.
Implementation Method 1
If multiple motion capture cameras record the same point in a frame and the locations of the cameras are known, the motion capture program can determine the 3D position of the point using triangulation.
Data Source
AI summary
Embodiments can enable motion capture cameras to be optimally placed in a set. For achieving this, a virtual set can be generated based on information regarding the set. Movement of a virtual actor or a virtual object may be controlled in the virtual set to simulate movement of the corresponding real actor and real object in the set. Based on such movement, camera aspects and obstructions in the set can be determined. Based on this determination, indication information indicating whether regions in the set may be viewable by one or more cameras placed in the physical set may be obtained. Based on the indication information, it can be determined an optimal placement of the motion capture cameras in the set. In some embodiments, an interface may be provided to show whether the markers attached to the actor can be captured by the motion capture cameras placed in a specific configuration.