GBI-SA: GBI Feature with Subtle Adjustment for Robust Non-rigid 3D Shape Retrieval

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.