AdrianBartoli2009

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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AdrianBartoli2009

Abstract:

One of the most fundamental computer vision problems is image matching. We focus on the interesting case of two images of a continuous surface. There is a significant body of literature on defining parametric warps matching the two images. We show as a first contribution that most of these warps lie in a general class, namely Linear Basis Expansion with Multiple Parameter Sets warps. This class of warps has a direct geometric interpretation: it is induced by a deformable surface imaged by an affine camera. In practice, however, the observed surface may not deform, but only undergo a rigid motion, while the imaging geometry may lead to significant perspective effects. This raises two fundamental questions: how can one constrain the warps to comply with a rigid surface? Can the warps be extended so as to deal with perspective projection? Our answers draw on two contributions: the Single Parameter Set and Rational Basis Expansion warps. Combining Linear/Rational Basis Expansion and Single/Multiple Parameter Sets, we show that a full analogy exist with Affine/Perspective projection and Rigid/Deformable surfaces. We derive a general methodology that, from a standard Deformable Affine warp, allows one to derive three new types of warps: Rigid Affine, Rigid Perspective and Deformable Perspective.

Bio:

Adrien Bartoli is a permanent CNRS research scientist (Chargé de Recherche) at the LASMEA laboratory in Clermont-Ferrand, France, since October 2004 and a visiting professor at DIKU in Copenhagen, Denmark for 2006-2009. Before that, he was a postdoctoral researcher at the University of Oxford, UK, in the Visual Geometry Group, under the supervision of Prof. Andrew Zisserman. He obtained his Habilitation Degree (HDR - Habilitation à Diriger des Recherches) from Université Blaise Pascal, Clermont II, in June 2008. He did his PhD? in the Perception group (ex MOVI), at INRIA Grenoble, France, under the supervision of Prof. Peter Sturm and Prof. Radu Horaud and received the 2004 INPG PhD? thesis prize. Together with his PhD? student Vincent Gay-Bellile and his colleague Patrick Sayd, we received the best student paper award at CORESA'07. Since September 2006, he is leading the ComSee? research team (with Thierry Chateau until early 2009). His main research interests are in image registration and Structure-From-Motion for rigid and non-rigid scenarios, and machine learning, within the field of Computer Vision.

WebEventForm
Title: Flexible Image Warps: the Cases of Rigidity and Perspective
Date: 29 June 2009
Location: Garching Seminar Room, 15:30
Abstract: One of the most fundamental computer vision problems is image matching. We focus on the interesting case of two images of a continuous surface.
Imageurl: me-montage.png
Type: News
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