Object Volume Estimation Based on 3D Point Cloud

被引：0

作者：

Chang, Wen-Chung ^{[1
]}

Wu, Chia-Hung ^{[1
]}

Tsai, Ya-Hui ^{[2
]}

Chiu, Wei-Yao ^{[2
]}

机构：

[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei Tech Box 2125, Taipei 10608, Taiwan

[2] Ind Technol Res Inst, Mech & Mechatron Syst Res Labs, Hsinchu, Taiwan

来源：

2017 INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS) | 2017年

关键词：

curve fitting; least square; point cloud; volume estimation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An approach to estimating the volume of an object based on 3D point cloud is proposed in this paper. Firstly, 3D point cloud is cut into slices of equal thickness along the z-axis. Bisect each slice along the y-axis and cut each slice into sub-intervals along the x-axis. Using the minimum and maximum coordinates in each sub-interval, two surface curve functions can be fitted accordingly for the bisected slices. Then, the curves are integrated to estimate the area of each slice and further integrated along the z-axis for an estimated volume of the object.

引用

页数：5

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