Tutorial Point Cloud Library Three-Dimensional Object Recognition and 6 DOF Pose Estimation

被引：254

作者：

Aldoma, Aitor ^{[1
]}

Marton, Zoltan-Csaba ^{[2
]}

Tombari, Federico ^{[3
]}

Wohlkinger, Walter ^{[1
]}

Potthast, Christian ^{[4
,5
]}

Zeisl, Bernhard ^{[3
]}

Rusu, Radu Bogdan ^{[6
]}

Gedikli, Suat ^{[7
]}

Vincze, Markus ^{[1
]}

机构：

[1] Vienna Univ Technol, Vision4Robot Grp, Automat & Control Inst, A-1040 Vienna, Austria

[2] Tech Univ Munich, Munich, Germany

[3] Univ Bologna, Comp Vis Lab, I-40126 Bologna, Italy

[4] Univ So Calif, RESL, Los Angeles, CA 90089 USA

[5] Univ So Calif, Dept Comp Sci, Los Angeles, CA 90089 USA

[6] Open Percept, Menlo Pk, CA USA

[7] Willow Garage, Menlo Pk, CA USA

来源：

IEEE ROBOTICS & AUTOMATION MAGAZINE | 2012年 / 19卷 / 03期

关键词：

D O I：

10.1109/MRA.2012.2206675

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the advent of new-generation depth sensors, the use of three-dimensional (3-D) data is becoming increasingly popular. As these sensors are commodity hardware and sold at low cost, a rapidly growing group of people can acquire 3- D data cheaply and in real time. © 2011 IEEE.

引用

页码：80 / 91

页数：12

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