A survey and technology trends of 3D features for object recognition

被引：0
作者：
Hashimoto M. [1 ]
Akizuki S. [1 ]
Takei S. [1 ]
机构：
[1] Graduate School of Computer and Cognitive Sciences, Chukyo University, 101-2, Yagoto-Honmachi, Showa-ku, Nagoya, Aichi
来源：
IEEJ Transactions on Electronics, Information and Systems | 2016年 / 136卷 / 08期
关键词：
3D features; Local Reference Frame; Object recognition; Robot vision;
D O I：
10.1541/ieejeiss.136.1038
中图分类号：
学科分类号：
摘要：
Recently, various kinds of 3D imaging devices such as laser range finder or time-of-flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using "point cloud data" have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the LRF (Local Reference Frame) which is very important factor to realize stable feature description and accurate pose estimation in practical use. © 2016 The Institute of Electrical Engineers of Japan.
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页码：1038 / 1046
页数：8
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