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Content-based similarity for 3D model retrieval and classification

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【Author】 Ke Lüa, Ning He b, Jian Xue a a College of Computing & Communication Engineering, Graduate University of Chinese Academy of Sciences, Yuquan Road 19(A), Beijing 100049, China b School of Mathematical Science, Capital Normal University, Beijing 100037, China

【摘要】 With the rapid development of 3D digital shape information, content-based 3D model retrieval and classification has become an important research area. This paper presents a novel 3D model retrieval and classification algorithm. For feature representation, a method combining a distance histogram and moment invariants is proposed to improve the retrieval performance. The major advantage of using a distance histogram is its invariance to the transforms of scaling, translation and rotation. Based on the premise that two similar objects should have high mutual information, the querying of 3D data should convey a great deal of information on the shape of the two objects, and so we propose a mutual information distance measurement to perform the similarity comparison of 3D objects. The proposed algorithm is tested with a 3D model retrieval and classification prototype, and the experimental evaluation demonstrates satisfactory retrieval results and classification accuracy.

【Abstract】 With the rapid development of 3D digital shape information, content-based 3D model retrieval and classification has become an important research area. This paper presents a novel 3D model retrieval and classification algorithm. For feature representation, a method combining a distance histogram and moment invariants is proposed to improve the retrieval performance. The major advantage of using a distance histogram is its invariance to the transforms of scaling, translation and rotation. Based on the premise that two similar objects should have high mutual information, the querying of 3D data should convey a great deal of information on the shape of the two objects, and so we propose a mutual information distance measurement to perform the similarity comparison of 3D objects. The pro- posed algorithm is tested with a 3D model retrieval and classification prototype, and the experimental evaluation demonstrates satisfac- tory retrieval results and classification accuracy.

【基金】 supported by the National Natural Science Foundation of China (Grant Nos. 60602062 and60532080)
  • 【文献出处】 Progress in Natural Science ,自然科学进展(英文版) , 编辑部邮箱 ,2009年04期
  • 【分类号】TP391.41
  • 【被引频次】6
  • 【下载频次】66
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