A Survey of 2D and 3D Shape Descriptors

Ismail Khalid Kazmi; Lihua You; Jian Jun Zhang

doi:10.1109/CGIV.2013.11

A Survey of 2D and 3D Shape Descriptors

Ismail Khalid Kazmi, Lihua You, Jian Jun Zhang

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Abstract

3D objects play a vital role in computer games, movies, TV, engineering design, and biological sciences. Researchers have studied 3D object retrieval techniques using 2D and 3D shape descriptors in the last several decades. In this paper, some of the most popular shape descriptors are reviewed. We first discuss the important criteria for a good shape descriptor. Then, we classify 2D and 3D shape descriptors into several categories. For each category, we review the state-of-the-art techniques along with their advantages and disadvantages. We also examine the recent contributions and improvements in these techniques and provide a comparison with other successful techniques based on previous literature and surveys. Finally we discuss the possible future directions.

Original language	English
Pages	1-10
DOIs	https://doi.org/10.1109/CGIV.2013.11
Publication status	Published - Aug 2013
Event	10th International Conference Computer Graphics, Imaging and Visualization - Los Alamitos, United States Duration: 6 Aug 2013 → 8 Aug 2013 Conference number: 10

Conference

Conference	10th International Conference Computer Graphics, Imaging and Visualization
Abbreviated title	CGIV
Country/Territory	United States
City	Los Alamitos
Period	6/08/13 → 8/08/13

Bibliographical note

Authors and/or their employers shall have the right to post the accepted version of IEEE-copyrighted articles on their own personal servers or the servers of their institutions or employers without permission from IEEE, provided that the posted version includes a prominently displayed IEEE copyright notice [...] and, when published, a full citation to the original IEEE publication, including a Digital Object Identifier (DOI). Authors shall not post the final, published versions of their articles.© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. For full details see http://www.ieee.org/publications_standards/publications/rights/rights_policies.html [Accessed: 15/06/2017]

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abstract = "3D objects play a vital role in computer games, movies, TV, engineering design, and biological sciences. Researchers have studied 3D object retrieval techniques using 2D and 3D shape descriptors in the last several decades. In this paper, some of the most popular shape descriptors are reviewed. We first discuss the important criteria for a good shape descriptor. Then, we classify 2D and 3D shape descriptors into several categories. For each category, we review the state-of-the-art techniques along with their advantages and disadvantages. We also examine the recent contributions and improvements in these techniques and provide a comparison with other successful techniques based on previous literature and surveys. Finally we discuss the possible future directions.",

author = "Kazmi, {Ismail Khalid} and Lihua You and Zhang, {Jian Jun}",

note = "Authors and/or their employers shall have the right to post the accepted version of IEEE-copyrighted articles on their own personal servers or the servers of their institutions or employers without permission from IEEE, provided that the posted version includes a prominently displayed IEEE copyright notice [...] and, when published, a full citation to the original IEEE publication, including a Digital Object Identifier (DOI). Authors shall not post the final, published versions of their articles.{\textcopyright} 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. For full details see http://www.ieee.org/publications_standards/publications/rights/rights_policies.html [Accessed: 15/06/2017]; 10th International Conference Computer Graphics, Imaging and Visualization, CGIV ; Conference date: 06-08-2013 Through 08-08-2013",

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AU - You, Lihua

AU - Zhang, Jian Jun

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AB - 3D objects play a vital role in computer games, movies, TV, engineering design, and biological sciences. Researchers have studied 3D object retrieval techniques using 2D and 3D shape descriptors in the last several decades. In this paper, some of the most popular shape descriptors are reviewed. We first discuss the important criteria for a good shape descriptor. Then, we classify 2D and 3D shape descriptors into several categories. For each category, we review the state-of-the-art techniques along with their advantages and disadvantages. We also examine the recent contributions and improvements in these techniques and provide a comparison with other successful techniques based on previous literature and surveys. Finally we discuss the possible future directions.

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A Survey of 2D and 3D Shape Descriptors

Abstract

Conference

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