MATEC Web Conf.
Volume 173, 20182018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|Number of page(s)||6|
|Section||Digital Signal and Image Processing|
|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
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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