A Closest Point Proposal for MCMC-based Probabilistic Surface Registration

2 Jul 2019Dennis MadsenAndreas Morel-ForsterPatrick KahrDana RahbaniThomas VetterMarcel Lüthi

In this paper, we propose a non-rigid surface registration algorithm that estimates the correspondence uncertainty using the Markov-chain Monte Carlo (MCMC) framework. The estimated uncertainty of the inferred registration is important for many applications, such as surgical planning or missing data reconstruction... (read more)

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