Reconstruction of surface 3D model of brown rice based on point cloud data

Authors

WU Jing, School of Material and Mechanical Engineering, Beijing Technology and Business University, Beijing, 100048, China
TANG Xiaohua, School of Material and Mechanical Engineering, Beijing Technology and Business University, Beijing, 100048, China
YANG Siping, School of Material and Mechanical Engineering, Beijing Technology and Business University, Beijing, 100048, China
AN Jiaqiang, School of Material and Mechanical Engineering, Beijing Technology and Business University, Beijing, 100048, China
LI Tianjiao, School of Material and Mechanical Engineering, Beijing Technology and Business University, Beijing, 100048, China
YANG Jinshan, School of Material and Mechanical Engineering, Beijing Technology and Business University, Beijing, 100048, China

Abstract

In view of the morphological and structural characteristics of brown rice, use the non-contact laser scanning technology to acquire original point cloud on brown rice surface in the multi-section circular scanning way. The Poisson reconstruction algorithm is used to reconstruct the smoothed point cloud with normal information to obtain the ideal three-dimensional model of brown rice surface. The results show that the reconstructed brown rice model has smooth surface, clear outline, and obvious details such as rice ditch and germ, which can provide an effective digital model for the later improvement of rice processing technology.

Publication Date

12-28-2019

First Page

19

Last Page

22,28

DOI

10.13652/j.issn.1003-5788.2019.12.004

Recommended Citation

Jing, WU; Xiaohua, TANG; Siping, YANG; Jiaqiang, AN; Tianjiao, LI; and Jinshan, YANG (2019) "Reconstruction of surface 3D model of brown rice based on point cloud data," Food and Machinery: Vol. 35: Iss. 12, Article 4.
DOI: 10.13652/j.issn.1003-5788.2019.12.004
Available at: https://www.ifoodmm.cn/journal/vol35/iss12/4

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