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A Survey on Partial Retrieval of 3D Shapes

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【作者】 刘贞报布树辉周昆高曙明韩军伟吴俊

【Author】 Zhen-Bao Liu 1 , Shu-Hui Bu 1, Kun Zhou 2, Shu-Ming Gao 2 Jun-Wei Han 3 , and Jun Wu 4 1 School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China 2 College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China 3 School of Automation, Northwestern Polytechnical University, Xi’an 710072, China 4 School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China

【机构】 School of Aeronautics, Northwestern Polytechnical UniversityCollege of Computer Science and Technology, Zhejiang UniversitySchool of Automation, Northwestern Polytechnical UniversitySchool of Electronics and Information, Northwestern Polytechnical University

【摘要】 Content-based shape retrieval techniques can facilitate 3D model resource reuse, 3D model modeling, object recognition, and 3D content classification.Recently more and more researchers have attempted to solve the problems of partial retrieval in the domain of computer graphics, vision, CAD, and multimedia.Unfortunately, in the literature, there is little comprehensive discussion on the state-of-the-art methods of partial shape retrieval.In this article we focus on reviewing the partial shape retrieval methods over the last decade, and help novices to grasp latest developments in this field.We first give the definition of partial retrieval and discuss its desirable capabilities.Secondly, we classify the existing methods on partial shape retrieval into three classes by several criteria, describe the main ideas and techniques for each class, and detailedly compare their advantages and limits.We also present several relevant 3D datasets and corresponding evaluation metrics, which are necessary for evaluating partial retrieval performance.Finally, we discuss possible research directions to address partial shape retrieval.

【Abstract】 Content-based shape retrieval techniques can facilitate 3D model resource reuse, 3D model modeling, object recognition, and 3D content classification.Recently more and more researchers have attempted to solve the problems of partial retrieval in the domain of computer graphics, vision, CAD, and multimedia.Unfortunately, in the literature, there is little comprehensive discussion on the state-of-the-art methods of partial shape retrieval.In this article we focus on reviewing the partial shape retrieval methods over the last decade, and help novices to grasp latest developments in this field.We first give the definition of partial retrieval and discuss its desirable capabilities.Secondly, we classify the existing methods on partial shape retrieval into three classes by several criteria, describe the main ideas and techniques for each class, and detailedly compare their advantages and limits.We also present several relevant 3D datasets and corresponding evaluation metrics, which are necessary for evaluating partial retrieval performance.Finally, we discuss possible research directions to address partial shape retrieval.

【基金】 supported by the National Natural Science Foundation of China under Grant Nos. 61003137, 61202185, 61005018,91120005;the Fundamental Fund of Research of Northwestern Polytechnical University of China under Grant Nos. JC201202,JC201220,JC20120237;the Natural Science Foundation of Shaanxi Province of China under Grant No. 2012JQ8037;the Open Fund from the State Key Lab of CAD&CG of Zhejiang University of China;the Program for New Century Excellent Talents in University of China under grant No. NCET-10-0079
  • 【文献出处】 Journal of Computer Science & Technology ,计算机科学技术学报(英文版) , 编辑部邮箱 ,2013年05期
  • 【分类号】TP391.41
  • 【被引频次】15
  • 【下载频次】337
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