International audienceWe present a new method for computing an optimal deformation between two arbitrary surfaces embedded in Euclidean 3-dimensional space. Our main contribution is in building a norm on the space of surfaces via representation by currents of geometric measure theory. Currents are an appropriate choice for representations because they inherit natural transformation properties from differential forms. We impose a Hilbert space structure on currents, whose norm gives a convenient and practical way to define a matching functional. Using this Hilbert space norm, we also derive and implement a surface matching algorithm under the large deformation framework, guaranteeing that the optimal solution is a one-to-one regular map of t...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
We present a new approach for matching regular surfaces in a Riemannian setting. We use a Sobolev ty...
Abstract — We present a novel technique for texture mapping on arbitrary surfaces with minimal disto...
Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental prob...
Establishing a correspondence between two surfaces is a basic ingredient in many geometry processing...
We consider optimal matching of submanifolds such as curves and surfaces by a variational approach b...
International audienceIn this article we develop in the case of triangulated meshes the notion of no...
International audienceA general formulation for geodesic distance propagation of surfaces is present...
Surface matching is fundamental to shape computing and various downstream applications. This paper d...
We propose a novel method for computing a geometri-cally consistent and spatially dense matching bet...
Abstract. We report a new approach for matching regular surfaces in a Rie-mannian setting. In this s...
Establishing a correspondence between two surfaces is a basic ingredient in many geometry processing...
We propose a novel method for computing a geometri-cally consistent and spatially dense matching bet...
We present a method to match three dimensional shapes under non-isometric deformations, topology cha...
In this paper, we propose a new surface registration approach using a generic deformation model, whi...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
We present a new approach for matching regular surfaces in a Riemannian setting. We use a Sobolev ty...
Abstract — We present a novel technique for texture mapping on arbitrary surfaces with minimal disto...
Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental prob...
Establishing a correspondence between two surfaces is a basic ingredient in many geometry processing...
We consider optimal matching of submanifolds such as curves and surfaces by a variational approach b...
International audienceIn this article we develop in the case of triangulated meshes the notion of no...
International audienceA general formulation for geodesic distance propagation of surfaces is present...
Surface matching is fundamental to shape computing and various downstream applications. This paper d...
We propose a novel method for computing a geometri-cally consistent and spatially dense matching bet...
Abstract. We report a new approach for matching regular surfaces in a Rie-mannian setting. In this s...
Establishing a correspondence between two surfaces is a basic ingredient in many geometry processing...
We propose a novel method for computing a geometri-cally consistent and spatially dense matching bet...
We present a method to match three dimensional shapes under non-isometric deformations, topology cha...
In this paper, we propose a new surface registration approach using a generic deformation model, whi...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
We present a new approach for matching regular surfaces in a Riemannian setting. We use a Sobolev ty...
Abstract — We present a novel technique for texture mapping on arbitrary surfaces with minimal disto...