When reconstructing a surface from irregularly spaced data, sampled from a closed surface in 3D, we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, such as integral Gaussian curvature, integral mean curvature and area. We furthermore study a non-functional approach, which is based on a mapping procedure. A locally optimal triangulation is then identified as a fixed point under the map. The optimization methods all require an initial triangulation as a starting point. To find an initial triangulation, we look at growing and shrinking approaches
This paper introduces a procedure for the calculation of the vertex positions in Marching-Cubes-like...
The area of surface reconstruction has seen substantial progress in the past two decades. The tradit...
Surface reconstruction recovers complete and coherent surfaces from scattered, noisy data. Viewpoint...
When reconstructing a surface from irregularly spaced data we need to decide how to identify a good ...
AbstractWhen reconstructing a surface from irregularly spaced data we need to decide how to identify...
The problem of reconstructing a shape from its sample appears in many scientific and engineering app...
This paper describes a new method for reconstructing 3D surface using a small number, e.g. 10, of 2D...
The reconstruction of 3D surface models from incomplete data is a fundamental problem in computer v...
This paper describes a method for reconstructing 3D frontier points, contour generators and surfaces...
International audienceIn this work, a new semi-automatic surface reconstruction procedure is propose...
In many scientific and technological endeavors, a three-dimensional solid must be reconstructed from...
The problem of reconstructing a watertight surface from a finite set of oriented points has received...
This paper describes a general method for automatic reconstruction of accurate, concise, piecewise s...
We introduce a continuous global optimization method to the field of surface reconstruction from dis...
Although the 3D orientations of edges and surfaces are theoreti-cally sufficient for reconstructing ...
This paper introduces a procedure for the calculation of the vertex positions in Marching-Cubes-like...
The area of surface reconstruction has seen substantial progress in the past two decades. The tradit...
Surface reconstruction recovers complete and coherent surfaces from scattered, noisy data. Viewpoint...
When reconstructing a surface from irregularly spaced data we need to decide how to identify a good ...
AbstractWhen reconstructing a surface from irregularly spaced data we need to decide how to identify...
The problem of reconstructing a shape from its sample appears in many scientific and engineering app...
This paper describes a new method for reconstructing 3D surface using a small number, e.g. 10, of 2D...
The reconstruction of 3D surface models from incomplete data is a fundamental problem in computer v...
This paper describes a method for reconstructing 3D frontier points, contour generators and surfaces...
International audienceIn this work, a new semi-automatic surface reconstruction procedure is propose...
In many scientific and technological endeavors, a three-dimensional solid must be reconstructed from...
The problem of reconstructing a watertight surface from a finite set of oriented points has received...
This paper describes a general method for automatic reconstruction of accurate, concise, piecewise s...
We introduce a continuous global optimization method to the field of surface reconstruction from dis...
Although the 3D orientations of edges and surfaces are theoreti-cally sufficient for reconstructing ...
This paper introduces a procedure for the calculation of the vertex positions in Marching-Cubes-like...
The area of surface reconstruction has seen substantial progress in the past two decades. The tradit...
Surface reconstruction recovers complete and coherent surfaces from scattered, noisy data. Viewpoint...