NDLI: A Survey on Partial Retrieval of 3D Shapes

Content Provider	Springer Nature Link
Author	Liu, Zhen Bao Bu, Shu Hui Zhou, Kun Gao, Shu Ming Han, Jun Wei Wu, Jun
Copyright Year	2013
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.
Starting Page	836
Ending Page	851
Page Count	16
File Format	PDF
ISSN	10009000
Journal	Journal of Computer Science and Technology
Volume Number	28
Issue Number	5
e-ISSN	18604749
Language	English
Publisher	Springer US
Publisher Date	2013-09-17
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3D shape partial retrieval survey classification evaluation Computer Science Software Engineering Theory of Computation Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) Information Systems Applications (incl. Internet)
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture

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