Analysis on a local approach to 3D object recognition

被引：0

作者：

Delponte, Elisabetta ^{[1
]}

Arnaud, Elise ^{[1
]}

Odone, Francesca ^{[1
]}

Verri, Alessandro ^{[1
]}

机构：

[1] Univ Genoa, DISI, Genoa, Italy

来源：

PATTERN RECOGNITION, PROCEEDINGS | 2006年 / 4174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：

We present a method for 3D object modeling and recognition which is robust to scale and illumination changes, and to viewpoint variations. The object model is derived from the local features extracted and tracked on an image sequence of the object. The recognition phase is based on an SVM classifier. We analyse in depth all the crucial steps of the method, and report very promising results on a dataset of 11 objects, that show how the method is also tolerant to occlusions and moderate scene clutter.

引用

页码：253 / 262

页数：10

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