Advances in 3D data acquisition and processing for industrial applications

被引：139
|
作者：
Bi, Z. M. [1 ]
Wang, Lihui [2 ]
机构：
[1] Indiana Univ Purdue Univ, Dept Engn, Ft Wayne, IN 46805 USA
[2] Ctr Intelligent Automat Univ Skovde, S-54128 Skovde, Sweden
来源：
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING | 2010年 / 26卷 / 05期
关键词：
Vision-based system; Data acquisition; Data processing; 3D images; Point clouds; Surface reconstruction; OBJECT RECONSTRUCTION; REGISTRATION;
D O I：
10.1016/j.rcim.2010.03.003
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A critical task of vision-based manufacturing applications is to generate a virtual representation of a physical object from a dataset of point clouds. Its success relies on reliable algorithms and tools. Many effective technologies have been developed to solve various problems involved in data acquisition and processing. Some articles are available on evaluating and reviewing these technologies and underlying methodologies. However, for most practitioners who lack a strong background on mathematics and computer science, it is hard to understand theoretical fundamentals of the methodologies. In this paper, we intend to survey and evaluate recent advances in data acquisition and progressing, and provide an overview from a manufacturing perspective. Some potential manufacturing applications have been introduced, the technical gaps between the practical requirements and existing technologies discussed, and research opportunities identified. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：403 / 413
页数：11
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