A new computational framework for 3D shape descriptors

被引：0

作者：

Akgul, Ceyhun Burak

Sankur, Bulent ^{[1
]}

Yemez, Yucel ^{[2
]}

Schmitt, Francis ^{[3
]}

机构：

[1] Bogazici Univ, Elekt & Elektron Muhendisligi Bolumu, TR-80815 Bebek, Turkey

[2] Koc Univ, Bilgisayar Muhendisligi Bolumu, TR-34450 Istanbul, Turkey

[3] Ecole Natl Super Telecommun Bretagne, Sinyal & Imge Isleme Bolumu, Paris, France

来源：

2006 IEEE 14TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1 AND 2 | 2006年

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 propose a computational framework for histogram-based 3D shape descriptors. Our method is based on evaluating the density of a shape function defined over the surface of 3D model using Gaussian modeling. The proposed approach has a better shape description ability compared to other competitor histogram-based approaches. We illustrate this assertion in a content-based 3D model retrieval application.

引用

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页码：774 / +

页数：2

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