Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24166
Title: Efficient 3D model retrieval by using symmetrical depth images
Authors: Zou, KS
Chan, CK 
Peng, SX
Ip, WH 
Chen, ZQ
Keywords: 3D model retrieval
Content-based
Principal plane analysis
Symmetrical depth image
Issue Date: 2011
Source: ICIC express letters, 2011, v. 5, no. 8 b, p. 2889-2894 How to cite?
Journal: ICIC Express Letters 
Abstract: With the rapid development of 3D scanners, graphic accelerated hardware and modeling tools, the application of 3D model databases is growing in both numbers and sizes. There is a pressing need for effective content-based 3D model retrieval methods. In this paper, a novel 3D model retrieval approach is proposed by using the symmetrical depth images. First, three symmetrical planes of the 3D model are obtained, based upon principal plane analysis and sequential quadratic programming, which are distinctive characteristics and perpendicular to each other. Second, Three symmetrical depth images are obtained by projecting the depth images to the three symmetrical planes. Finally, a synthesized symmetrical depth images (SDI) descriptor is calculated for 3D model retrieval. Experiment results show that the proposed method can achieve better retrieval performance and save more storage space than the depth image descriptor.
URI: http://hdl.handle.net/10397/24166
ISSN: 1881-803X
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