Overlapping Field-of-View Sensor Calibration Without Laser Sighting
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Solution Overview
Problem
Existing motion capture systems struggle to calibrate multiple sensors to a common coordinate frame of reference without the use of sophisticated laser sighting equipment, which is impractical for consumer or gaming applications where users should be free to move the sensors at will.
Innovation Solution
A network of motion-capture sensors designates a first sensor as a master frame of reference, synchronizes image capture across overlapping fields of view, and uses image analysis to calibrate other sensors to this frame, allowing self-calibration to a common coordinate reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sophisticated laser sighting equipment is used to calibrate multiple sensors to a common coordinate frame, then calibration precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system performs self-calibration by having sensors automatically capture images of a common calibration object and compute their own relative positions and orientations. Each sensor independently processes images and calculates transformation parameters without requiring external calibration equipment, making the system self-sufficient and eliminating complex calibration tools.
Solution Approach 2:
The patent replaces mechanical laser sighting equipment with an optical/image-based calibration system. Instead of using physical laser alignment tools, the system uses cameras to capture images of a calibration object and computationally determines sensor positions and orientations through image analysis and geometric calculations.
2Measurement precision
If sophisticated laser sighting equipment is used to calibrate multiple sensors to a common coordinate frame, then calibration precision is improved, but ease of operation worsens
Solution Approach 1:
The system performs self-calibration by having sensors automatically capture images of a common calibration object and compute their own relative positions and orientations. Each sensor independently processes images and calculates transformation parameters without requiring external calibration equipment, making the system self-sufficient and eliminating complex calibration tools.
Solution Approach 2:
The patent replaces mechanical laser sighting equipment with an optical/image-based calibration system. Instead of using physical laser alignment tools, the system uses cameras to capture images of a calibration object and computationally determines sensor positions and orientations through image analysis and geometric calculations.
3Reliability
If multiple sensors are deployed to monitor a moving object from multiple vantage points, then measurement completeness is improved, but device complexity worsens
Solution Approach 1:
The system divides the monitoring task among multiple independent sensors, each capturing images from its own vantage point. The calibration object serves as a common reference that segments the calibration process into independent sensor-specific operations, where each sensor calibrates itself rather than requiring coordinated calibration of the entire sensor network.
Solution Approach 2:
The calibration object acts as an intermediary element that mediates between multiple sensors. Each sensor independently captures images of this common object, and the object's known geometry serves as a reference that enables independent calculation of each sensor's position and orientation without requiring direct interaction or coordination between sensors.
Data Source
AI summary
The technology disclosed relates to calibrating frames of reference having overlapping fields of view. In particular, it relates to observing motion of an object of interest as it passes through overlapping fields of view of a first frame of reference and a second frame of reference, and calibrating the second frame of reference, based at least in part, on a capture from the first frame of reference and a capture from the second frame of reference.


