An Object Recognition Method using RGB-D Sensor

被引：1
|
作者：
Maeda, Daisuke [1 ]
Morimoto, Masakazu [1 ]
机构：
[1] Univ Hyogo, Div Comp Engn, Himeji, Hyogo 6712201, Japan
来源：
2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013) | 2013年
关键词：
RGB-D sensor; object recognition; minor subspace method;
D O I：
10.1109/ACPR.2013.156
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To recognize objects within narrow categories, it is important to extract effective features from small number of training samples. In this paper, first we discuss several depth features to improve object recognition accuracy. After that, we also discuss feature dimension reduction when we have insufficient training samples.
引用
收藏
页码：857 / 861
页数：5
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