On the Complexity of a Single Cell in Certain Arrangements of Surfaces Related to Motion Planning.
On the Construction of Abstract Voronoi Diagrams.
On the Expected Number of k-Sets.
On the Gaussian and mean curvature of certain surfaces.
On the jump set of solutions of the total variation flow
On the matrices of central linear mappings
We show that a central linear mapping of a projectively embedded Euclidean -space onto a projectively embedded Euclidean -space is decomposable into a central projection followed by a similarity if, and only if, the least singular value of a certain matrix has multiplicity . This matrix is arising, by a simple manipulation, from a matrix describing the given mapping in terms of homogeneous Cartesian coordinates.
On the Number of Views of Polyhedral Terrains.
On the regularity of edges in image segmentation
On the shape parameter and constrained modification of GB-spline curves.
On the singular decomposition of matrices.
On the Zone of a Surface in a Hyperplane Arrangement.
One hundred volumes of Publications de l' Institut Mathématique
Optimal distribution of break points at a diode function generator
Optimal segmentation of unbounded functions
Optimality of the Delaunay Triangulation in Rd .
Optimization of the maximum likelihood estimator for determining the intrinsic dimensionality of high-dimensional data
One of the problems in the analysis of the set of images of a moving object is to evaluate the degree of freedom of motion and the angle of rotation. Here the intrinsic dimensionality of multidimensional data, characterizing the set of images, can be used. Usually, the image may be represented by a high-dimensional point whose dimensionality depends on the number of pixels in the image. The knowledge of the intrinsic dimensionality of a data set is very useful information in exploratory data analysis,...
Ordinary and directed combinatorial homotopy, applied to image analysis and concurrency.
Orthogonal drawings of plane graphs without bends.