Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61349
Title: Virtual mannequins retrieval based on cluster-based panoramic views
Authors: Zou, K
Zhang, Z
Zhang, J
Chan, CK 
Chen, Z
Keywords: 3D model retrieval
Fuzzy clustering
Panoramic views
Virtual mannequin
Issue Date: 2015
Publisher: Binary Information Press
Source: Journal of fiber bioengineering and informatics, 2015, v. 8, no. 3, p. 423-431 How to cite?
Journal: Journal of fiber bioengineering and informatics 
Abstract: With the rapid development of 3D scanners, graphic accelerated hardware and modeling tools, the application of 3D model database is growing in both numbers and sizes, e.g., 3D head and body scan datasets. In this paper, a novel method by using cluster-based panoramic views is proposed for retrieving 3D virtual mannequins. First, a Young Chinese Female Virtual Mannequin (YCFVM) database is established by analyzing various 3D body scan data; second, panoramic views of virtual mannequins are obtained, and the Fourier and Wavelet features of the panoramic views are extracted; third, a multi-scale indexing of the YCFVM dataset is generated for fast matching by using fuzzy clustering for the Wavelet features; finally, the Fourier descriptor is embedded into the feature matching with the generated indexing for obtaining more accurate retrieval results. Experiment results show that the proposed method can achieve better retrieval performance than other descriptors used for virtual mannequin retrieval.
URI: http://hdl.handle.net/10397/61349
ISSN: 1940-8676
DOI: 10.3993/jfbim00137
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