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Automatic combination of feature descriptors for effective 3D shape retrieval

  • Leng Biao*
  • , Qin Zheng
  • *此作品的通讯作者
  • Tsinghua University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We focus on improving the effectiveness of content-based 3D shape retrieval. Motivated by retrieval performance of several individual 3D model feature vectors, we propose a novel method, called prior knowledge based automatic weighted combination, to improve the retrieval effectiveness. The method dynamically determines the weighting scheme for different feature vectors based on the prior knowledge. The experimental results show that the proposed method provides significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database. Compared with two existing combination methods, the prior knowledge weighted combination technique has gained better retrieval effectiveness.

源语言英语
主期刊名Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
36-46
页数11
出版状态已出版 - 2007
已对外发布
活动3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques - Rocquencourt, 法国
期限: 28 3月 200730 3月 2007

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4418 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
国家/地区法国
Rocquencourt
时期28/03/0730/03/07

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