A dynamic clustering algorithm based on artificial immune system for analyzing 3D models

Xianghua Li, Chao Gao, Tianyang Lv, Li Tao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the field of content-based 3D model retrieval, classifying and organizing 3D model database is an important fundamental research, which is critical for improving the retrieval performance. Clustering is one of the most effective methods to classify 3D models. However, there has been little work on it. This paper proposes a dynamic clustering algorithm based on artificial immune system for classifying 3D models, which not only can classify existing models, but can deal with new incremental models. Experimental results show that our algorithm can obtain better classification of 3D models.

源语言英语
主期刊名Proceedings - 2012 8th International Conference on Natural Computation, ICNC 2012
854-858
页数5
DOI
出版状态已出版 - 2012
已对外发布
活动2012 8th International Conference on Natural Computation, ICNC 2012 - Chongqing, 中国
期限: 29 5月 201231 5月 2012

出版系列

姓名Proceedings - International Conference on Natural Computation
ISSN(印刷版)2157-9555

会议

会议2012 8th International Conference on Natural Computation, ICNC 2012
国家/地区中国
Chongqing
时期29/05/1231/05/12

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