DocumentCode :
2147848
Title :
A Survey of 2D and 3D Shape Descriptors
Author :
Kazmi, Ismail Khalid ; Lihua You ; Jian Jun Zhang
Author_Institution :
Nat. Center for Comput. Animation, Bournemouth Univ., Bournemouth, UK
fYear :
2013
fDate :
6-8 Aug. 2013
Firstpage :
1
Lastpage :
10
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.
Keywords :
content-based retrieval; shape recognition; solid modelling; 2D shape descriptor; 3D object retrieval technique; 3D shape descriptor; TV; biological science; computer game; engineering design; movies; Cascading style sheets; Feature extraction; Shape; Solid modeling; Subspace constraints; Three-dimensional displays; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
Conference_Location :
Macau
Type :
conf
DOI :
10.1109/CGIV.2013.11
Filename :
6658152
Link To Document :
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