GBI-SA: GBI Feature with Subtle Adjustment for Robust Non-rigid 3D Shape Retrieval
Computer-Aided Design and Computer Graphics（2013）
摘要
Deformable shape retrieval has posed a challenge to researchers, which is becoming more and more important. This paper addresses non-rigid 3D shape retrieval in terms of a subtle adjustment strategy. For this purpose, we first construct a new global shape descriptor based on biharmonic distance, which uses the connectivity between vertices for natural shape representation. Then, in order to enhance retrieval ability, we propose a subtle adjustment method to provide discriminative information. Finally, we depend on experiment to evaluate the performance of the proposed method. Comparison results have proved that the proposed GBI-SA retrieval method is superior to state-of-the-art methods, including SD-GDM, mesh SIFT, MDS-CM-BOF, Shape DNA, and WESD.
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关键词
gbi feature,state-of-the-art method,gbi-sa,robust nonrigid 3d shape retrieval,wesd,image representation,new global shape descriptor,global shape descriptor,shape dna,gbi,proposed gbi-sa retrieval method,non-rigid,retrieval ability,subtle adjustment strategy,robust non-rigid,mds-cm-bof,subtle adjustment,subtle adjustment method,deformable shape retrieval,feature extraction,natural shape representation,biharmonic distance,image retrieval,global biharmonic feature,shape retrieval,gbi-sa retrieval method,mesh sift,sd-gdm,robust re-trieval,kernel,global positioning system,shape,robustness
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