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| Virtual Mannequins Retrieval Based on Cluster-based Panoramic Views |
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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.
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| Cite this article: |
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Kuansheng Zou,Zhaojun Zhang,Jianhua Zhang, et al. Virtual Mannequins Retrieval Based on Cluster-based Panoramic Views[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(3): 423-431.
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2015, Vol. 8 
