CONTENT-BASED 3D OBJECT RETRIEVAL USING 2D VIEWS

被引：0

作者：

Napoleon, Thibault ^{[1
]}

Sahbi, Hichem ^{[1
]}

机构：

[1] TELECOM ParisTech, CNRS, UMR 5141, F-75013 Paris, France

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

D O I：

10.1109/ICIP.2009.5414634

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

2D techniques have recently emerged as an important boost for 3D objects content-based retrieval in many real world applications such as photography, art, archeology and geo-localization thanks to its several complementary aspects. We introduce in this paper a new framework for 3D objects content-based retrieval based on a 2D photography approach. A new alignment process that is able to find canonical views consistently through scenes/objects and a new coarse-to-fine description and matching method used for ranking are our contributions. The results are presented through an international benchmarking and showing clearly the good performance of our framework with respect to the other participants.

引用

页码：1437 / 1440

页数：4

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