An anisotropic Chebyshev descriptor and its optimization for deformable shape correspondence

An anisotropic Chebyshev descriptor and its optimization for deformable shape correspondence

Abstract Shape descriptors have recently gained popularity in shape matching, statistical shape modeling, etc. Their discriminative ability and efficiency play a decisive role in these tasks. In this paper, we first propose a novel handcrafted anisotropic spectral descriptor using Chebyshev polynomi...

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Bibliographic Details
Main Authors: Shengjun Liu, Hongyan Liu, Wang Chen, Dong-Ming Yan, Ling Hu, Xinru Liu, Qinsong Li
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:Computational Visual Media
Subjects:
anisotropic descriptor
spectral descriptor
shape descriptor
shape matching
spectral convolution
deep learning
Online Access:https://doi.org/10.1007/s41095-022-0290-8

Internet

https://doi.org/10.1007/s41095-022-0290-8

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