Title: Research on point cloud generation algorithm of virtual depth camera

Authors: Ke Li; Shilin Wu; Qinxia Huang; Zhen Zheng

Addresses: School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan 430200, Hubei, China ' School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan 430200, Hubei, China ' School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan 430200, Hubei, China ' School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan 430200, Hubei, China

Abstract: In this paper, based on the example of insulator photography with real sense depth camera, we use OpenGL to design a virtual camera to photograph the three-dimensional model of insulator STL, extract the surface data information of the three-dimensional model of insulator STL, and then obtain the three-dimensional point cloud data of insulator. Finally, random noise is added to the point cloud data obtained by the virtual camera to simulate the real situation of the insulator captured by the real sense depth camera. The experimental results show that the virtual depth camera can replace the solid camera to collect the point cloud data of the STL 3D model of the object.

Keywords: virtual depth camera; insulator; STL model; Point cloud; OpenGL.

DOI: 10.1504/IJWMC.2021.113224

International Journal of Wireless and Mobile Computing, 2021 Vol.20 No.1, pp.62 - 69

Received: 20 Aug 2020
Accepted: 05 Oct 2020

Published online: 15 Feb 2021 *

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