Existing shape models with spherical topology are typically designed either in the discrete domain using interpolating polygon meshes or in the continuous domain using smooth but non-interpolating schemes such as subdivision or NURBS. Both polygon models and subdivision methods require a large number of parameters to model smooth surfaces. NURBS need fewer parameters but have a complicated rational expression and non-uniform shifts in their formulation. We present a new method to construct deformable closed surfaces, which includes exact spheres, by combining the best of two worlds: a smooth, interpolating model with a continuously varying tangent plane and well-defined curvature at every point on the surface. Our formulation is considerabl...
We present a geometry processing framework that allows direct manipulation or preservation of positi...
We present a new algorithm for finding a most "developable" smooth mesh surface to interpolate a giv...
Statistical shape models are powerful tools for model-based segmentation and have been successfully ...
Abstract Existing shape models with spherical topology are typically designed either in the discrete...
Existing shape models with spherical topology are typically designed either in the discrete domain u...
In applications that involve interactive curve and surface modeling, the intuitive manipulation of s...
International audienceShape approximation algorithms aim at computing simple geometric descriptions ...
This paper describes a new spline formulation that supports deformation of polygonol shapes into smo...
We present a novel approach to 3D shape synthesis of closed surfaces. A curved or polyhedral 3D obje...
We present an affine-invariant non-stationary subdivision scheme for the recursive refinement of any...
3D mesh parameterization is widely investigated with various parameter domains and applied in many c...
Figure 1: Starting from a surface mesh (left, 200k triangles), we propose an approximation algorithm...
In this paper, we present a new approach to geometrical modeling which allows the user to easily cha...
Spherical mapping is a key enabling technology in modeling and processing genus-0 close surfaces. A ...
Tools for the automatic decomposition of a surface into shape features will facilitate the editing, ...
We present a geometry processing framework that allows direct manipulation or preservation of positi...
We present a new algorithm for finding a most "developable" smooth mesh surface to interpolate a giv...
Statistical shape models are powerful tools for model-based segmentation and have been successfully ...
Abstract Existing shape models with spherical topology are typically designed either in the discrete...
Existing shape models with spherical topology are typically designed either in the discrete domain u...
In applications that involve interactive curve and surface modeling, the intuitive manipulation of s...
International audienceShape approximation algorithms aim at computing simple geometric descriptions ...
This paper describes a new spline formulation that supports deformation of polygonol shapes into smo...
We present a novel approach to 3D shape synthesis of closed surfaces. A curved or polyhedral 3D obje...
We present an affine-invariant non-stationary subdivision scheme for the recursive refinement of any...
3D mesh parameterization is widely investigated with various parameter domains and applied in many c...
Figure 1: Starting from a surface mesh (left, 200k triangles), we propose an approximation algorithm...
In this paper, we present a new approach to geometrical modeling which allows the user to easily cha...
Spherical mapping is a key enabling technology in modeling and processing genus-0 close surfaces. A ...
Tools for the automatic decomposition of a surface into shape features will facilitate the editing, ...
We present a geometry processing framework that allows direct manipulation or preservation of positi...
We present a new algorithm for finding a most "developable" smooth mesh surface to interpolate a giv...
Statistical shape models are powerful tools for model-based segmentation and have been successfully ...