A Closest Point Proposal for MCMC-based Probabilistic Surface Registration

We propose to view non-rigid surface registration as a probabilistic inference problem. Given a target surface, we estimate the posterior distribution of surface registrations. We demonstrate how the posterior distribution can be used to build shape models that generalize better and show how to visu...

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Veröffentlicht in:	arXiv.org 2020-07
Hauptverfasser:	Madsen, Dennis, Morel-Forster, Andreas, Kahr, Patrick, Rahbani, Dana, Vetter, Thomas, Lüthi, Marcel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer simulation Distance measurement Inference Markov chains Metric space Missing data Probability theory Random sampling Reconstruction Registration Uncertainty
Online-Zugang:	Volltext
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