Evaluating and Comparing of 3D Shape Descriptors for Object Recognition

被引：0
|
作者：
Ceron, Alexander [1 ]
Prieto, Flavio [1 ]
机构：
[1] Univ Nacl Colombia, Bogota, Colombia
来源：
ADVANCES IN VISUAL COMPUTING, PT II | 2013年 / 8034卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work we show the results of a system for object recognition by using depth data. It is based on shape descriptors and PCA reduction. For obtaining the results, we evaluated different combination of three descriptors that are suitable for this work: Spin Images, VFH (Viewpoint Feature Histogram) and NARF (Normal Aligned Radial Feature). In addition, we created a method for extracting the NARF descriptor in order to obtain a global descriptor. The results show that the combination of descriptors can be used for object recognition in a database composed of point clouds obtained with a RGB-D sensor.
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收藏
页码：484 / 492
页数：9
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