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Content Provider | IEEE Xplore Digital Library |
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Author | Wei Zeng Lok Ming Lui Xianfeng Gu |
Copyright Year | 2014 |
Description | Author affiliation: Stony Brook Univ., Stony Brook, NY, USA (Xianfeng Gu) || Chinese Univ. of Hong Kong, Hong Kong, China (Lok Ming Lui) || Florida Int. Univ., Miami, FL, USA (Wei Zeng) |
Abstract | This work proposes a novel framework for optimization in the constrained diffeomorphism space for deformable surface registration. First the diffeomorphism space is modeled as a special complex functional space on the source surface, the Beltrami coefficient space. The physically plausible constraints, in terms of feature landmarks and deformation types, define subspaces in the Beltrami coefficient space. Then the harmonic energy of the registration is minimized in the constrained subspaces. The minimization is achieved by alternating two steps: 1) optimization - diffuse the Beltrami coefficient, and 2) projection - first deform the conformal structure by the current Beltrami coefficient and then compose with a harmonic map from the deformed conformal structure to the target. The registration result is diffeomorphic, satisfies the physical landmark and deformation constraints, and minimizes the conformality distortion. Experiments on human facial surfaces demonstrate the efficiency and efficacy of the proposed registration framework. |
Starting Page | 4169 |
Ending Page | 4176 |
File Size | 541037 |
Page Count | 8 |
File Format | |
ISBN | 9781479951185 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2014.531 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-06-23 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Harmonic analysis Optimization Surface morphology Measurement Conformal mapping Topology Equations Physical Constraints Surface Registration Diffeomorphism Space Quasiconformal Map |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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