Title: Body scanning oriented 3D object modelling method based on multi-view depth camera

Authors: Ping Xu; Fengjun Hu; Ji Gao; Jianwei Lin; Huafeng Chen

Addresses: College of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, China ' College of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, China ' College of Computer Science and Technology, Zhejiang 310027, China ' College of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, China ' College of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, China

Abstract: To implement the human body scanning process, in this paper, we propose a novel 3D object modelling method based on multi-view depth camera. The main innovations of this paper lie in that we model 3D object via fusing several depth images captured from depth cameras. Different from the 3D scanner-based 3D object modelling, this proposed method is much cheaper and easier to operate. To construct the multiple depth camera system, a camera is located at the centre point, and others are positioned at four directions with the same intervals. Afterwards, a cost function is defined to fuse the multiple views of depth images based on depth map of the surface points. Experimental results demonstrate that the proposed method can effectively 3D scan the human body, and our method is slightly inferior to 3D scanner. However, the proposed depth camera based method is much cheaper and easier to master.

Keywords: body scanning; 3D object modelling; depth camera; Kinect; cost function.

DOI: 10.1504/IJESMS.2019.101682

International Journal of Engineering Systems Modelling and Simulation, 2019 Vol.11 No.2, pp.84 - 89

Received: 26 Jan 2019
Accepted: 12 May 2019

Published online: 15 Aug 2019 *

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