Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
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Article Number | 03001 | |
Number of page(s) | 6 | |
Section | Digital Signal and Image Processing | |
DOI | https://doi.org/10.1051/matecconf/201817303001 | |
Published online | 19 June 2018 |
Acquisition and Registration of Human Point Cloud Based on Depth Camera
North China University of Technology, Beijing, China
Computer Department, North China University of Technology, Beijing, China
53112932@163.com, 448231847@qq.com
Registration of human cloud points is a key step in 3D human reconstruction. So, this paper proposes using depth camera to acquire human point cloud. Then, using feature matching and PnP (Perspective-n-Point) to solve the camera pose.Finally, use least square to optimize camera pose and implement point cloud registration. Experimental results show the effectiveness of this method.
Key words: Feature Point Detection / Depth Camera / Point Cloud Registration
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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