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SEpi-3D: soft epipolar 3D shape measurement with an event camera for multipath elimination
Optics Express
|May 9, 2023
Summary
Multipath errors in 3D imaging are reduced using the soft epipolar 3D (SEpi-3D) method. This novel approach leverages event cameras and laser projection to improve point cloud accuracy by utilizing temporal and epipolar information.
Area of Science:
- Computer Vision
- 3D Imaging
- Robotics
Background:
- Multipath interference in 3D imaging corrupts point cloud data.
- Reflections cause single pixels to receive light from multiple sources, leading to measurement errors.
Purpose of the Study:
- To introduce a novel method for eliminating multipath errors in 3D imaging.
- To enhance the accuracy of point cloud data acquired using event cameras and laser projectors.
Main Methods:
- Developed the soft epipolar 3D (SEpi-3D) method.
- Aligned projector and event camera rows onto the same epipolar plane using stereo rectification.
- Captured synchronized event flow and projector frames to map event timestamps to projector pixels.
- Utilized temporal event data and epipolar geometry for multipath elimination.
Main Results:
- Reduced Root Mean Square Error (RMSE) by an average of 6.55mm in multipath scenes.
- Decreased the percentage of error points by 7.04%.
Conclusions:
- The SEpi-3D method effectively eliminates multipath interference in 3D imaging.
- The proposed technique significantly improves the accuracy and reliability of point cloud data.
