@Article{JFBI-8-423,
author = {Kuansheng Zou, Zhaojun Zhang, Jianhua Zhang, Chee-Kooi Chan and Zengqiang Chen},
title = {Virtual Mannequins Retrieval Based on Cluster-based Panoramic Views},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {3},
pages = {423--431},
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.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbim00137},
url = {http://global-sci.org/intro/article_detail/jfbi/4723.html}
}