Dissertation Defense of Florent Brunet
: Contributions to Parametric Image Registration and 3D Surface Reconstruction
This thesis deals with the modelling and the estimation of parametric functions in computer vision. Three main topics are considered and are related by a single objective: the reconstruction of an arbitrary surface from images taken in an arbitrary deformable environment. The three main topics considered in this work are:
Range surface fitting: we consider the problem of fitting a parameteric surface such as a B-spline to a set of range data obtained with, for instance, a time-of-flight cameras. We take a particular interest in the problem of automatically determining the hyperparameters. We also propose methods to cope with discontinuities and heteroskedastic noise.
Image registration: several problems related to image registration are considered. In particular, we propose a new method for direct image registration that does not need a region of interest. We also propose new ways of automatically selecting the hyperparameters in feature-based image registration. We finally propose a new model of deformation, the NURBS-warp, that copes with perspective effects in the imaging process.
Reconstruction of inextensible surfaces from monocular videos: the last part of this thesis tackles the difficult problem of reconstructing a deformable surface in a monocular setup. We propose two new approaches to solve this problem ; The first one is a convex formulation of some common assumptions ; The second one is a new way of enforcing the inextensibility constraint in a parametric framework.
: Pr. Adrien Bartoli
Pr. Nassir Navab
Pr Rémy Malgouyres
: Pr. Laurent Sarry
: Pr. Joachim Hornegger
Dr. Lourdes Agapito
Pr. Etienne Mémin
: Tuesday, November 30th 2010
: 3:00 pm (45min presentation + questions asked by the committee)
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| Title: || Dissertation Defense of Florent Brunet |
| Date: || 30 November 2010 |
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| Abstract: || Florent Brunet will defend his PhD thesis with the title „Contributions to Parametric Image Registration and 3D Surface Reconstruction”. |
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| Type: || News |
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