Edge Voxel Erosion for Noise Removal in 3D Point Clouds Collected by Kinect©
Authors: 
Yan Wan, Yao Li, Jianpeng Jiang, Bugao XuAuthors Info & Claims
Yan Wan, Yao Li, Jianpeng Jiang, Bugao XuAuthors Info & ClaimsAbstract
When the human body point cloud is captured by Kinect©, the edge voxels with lower accuracy need to be removed to ensure the precision of the 3D point cloud patches. However, there is no existing erosion algorithm for 3D voxel. This paper proposes a 3D contour voxels erosion algorithm based on 2D image erosion algorithm, which maps the erosion mode of 2D contour pixels to the 3D contour voxels, and eliminating the contour voxels with low accuracy to optimize the 3D human body point cloud.
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Index Terms
- Edge Voxel Erosion for Noise Removal in 3D Point Clouds Collected by Kinect©
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Published In
March 2020
168 pages
ISBN:9781450376952
DOI:10.1145/3388818
Copyright © 2020 ACM.
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- Nanyang Technological University
- The Hong Kong Polytechnic: The Hong Kong Polytechnic University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 May 2020
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IVSP '20
IVSP '20: 2020 2nd International Conference on Image, Video and Signal Processing
March 20 - 22, 2020
Singapore, Singapore
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