Feature combination and relevance feedback for 3D model retrieval

被引:29
作者
Atmosukarto, I [1 ]
Leow, WK [1 ]
Huang, ZY [1 ]
机构
[1] Natl Univ Singapore, Dept Comp Sci, Singapore 117543, Singapore
来源
11TH INTERNATIONAL MULTIMEDIA MODELLING CONFERENCE, PROCEEDINGS | 2005年
关键词
D O I
10.1109/MMMC.2005.39
中图分类号
TP18 [人工智能理论];
学科分类号
081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];
摘要
Retrieval of 3D models have attracted much research interest, and many types of shape features have been proposed. In this paper, we describe a novel approach of combining the feature types for 3D model retrieval and relevance feedback processing. Our approach performs query processing using pre-computed pairwise distances between objects measured according to various feature types. Experimental tests show that this approach performs better than retrieval by individual feature type.
引用
收藏
页码:334 / 339
页数:6
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