Learning Non-rigid, 3D Shape Variations using Statistical, Physical and Geometric Models

Zhang, Chao (2018) Learning Non-rigid, 3D Shape Variations using Statistical, Physical and Geometric Models. PhD thesis, University of York.

Abstract

Metadata

Supervisors: William, Smith
Keywords: statistical model, 3d shapes, dense correspondence, shape matching, Riemannian manifold, functional maps
Awarding institution: University of York
Academic Units: The University of York > Computer Science (York)
Identification Number/EthosID: uk.bl.ethos.762599
Depositing User: Mr Chao Zhang
Date Deposited: 14 Dec 2018 14:26
Last Modified: 19 Feb 2020 13:07

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