1 citations · 1 across the 3 of their papers we have counts for
4 papers
Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models
Jonathan Aellen, Florian Burkhardt, Thomas Vetter +1
In medical imaging, point distribution models are often used to reconstruct and complete partial shapes using a statistical model of the full shape. A commonly overlooked, but cruc…
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression
Dennis Madsen, Jonathan Aellen, Andreas Morel-Forster +2
In this paper, we unify popular non-rigid registration methods for point sets and surfaces under our general framework, GiNGR. GiNGR builds upon Gaussian Process Morphable Models (…
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr +3
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…
Morphable Face Models - An Open Framework
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer +4
In this paper, we present a novel open-source pipeline for face registration based on Gaussian processes as well as an application to face image analysis. Non-rigid registration of…