Deep Structure, Singularities, and Computer Vision
First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers
Chapter and Conference Paper
Density estimation employed in multi-pass global illumination algorithms give cause to a trade-off problem between bias and noise. The problem is seen most evident as blurring of strong illumination features. ...
Chapter and Conference Paper
Curve evolution forms the basis of active contour algorithms used for image segmentation. In many applications the curve under evolution needs to be restricted to the shape space given by some example shapes, ...
Article
Among the many attempts made to represent families of 2D shapes in a simpler way, the Medial Axis \(\mathcal{MA}\) ta...
Chapter and Conference Paper
A novel shape descriptor is introduced. It groups pairs of points that share a geometrical property that is based on their mutual symmetry. The descriptor is visualized as a diagonally symmetric diagram with b...
Article
The optic flow field is defined such that along integral lines of the field the image intensity remains constant. For each time instance in an image sequence poles are created in the optic flow field at the po...
Book and Conference Proceedings
First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers
Chapter and Conference Paper
Osteoarthritis is characterized by the degeneration of the articular cartilage in joints. We have developed a fully automatic method for segmenting the articular cartilage in knee MR scans based on supervised ...
Chapter and Conference Paper
In this paper we discuss the implementation of methods to derive 3D Symmetry Sets, given a parameterized shape, as well as an unorganized point cloud. It presents a geometric method to derive the Symmetry Set,...
Chapter and Conference Paper
We have developed a method for segmenting tibial and femoral medial cartilage in MR knee scans by combining two k Nearest Neighbors (kNN) classifiers for the cartilage classes with a rejection threshold for the b...
Chapter and Conference Paper
The Symmetry Set ( \(\mathcal{SS}\) ) and its representation in parameter space, the pre-Symmetry Set, can be used to des...
Chapter and Conference Paper
Shapes simplify under to the intrinsic heat equation – the Mean Curvature Motion (MCM) – forming a shape scale space. The same holds for a representation of the shape, viz. the Symmetry Set (SS), a superset of...
Chapter and Conference Paper
An representation based on the singularity structure of the gradient magnitude over scale is used as the atoms in a space of images. This representation is summarized as a rooted tree. The generic transitions ...
Chapter and Conference Paper
Many attempts have been made to represent families of 2D shapes in a simpler way. These approaches lead to so-called structures as the Symmetry Set (
Chapter and Conference Paper
Many attempts have been made to represent families of 2D shapes in a simpler way. These approaches lead to so-called structures as the Symmetry Set ( ...
Chapter and Conference Paper
We assess the feasibility of approximating non-linear diffusion processes with simple local Gaussian filters. The purpose of doing this is twofold. Firstly, the theoretical implications are by themselves inter...
Chapter and Conference Paper
Koenderink characterizes the local shape of 2D surfaces in 3D in terms of the shape index and the local curvedness. The index characterizes the local type of surface point: concave, hyperbolic, or convex. The ...
Article
Scale space analysis combines global and local analysis in a single methodology by simplifying a signal. The simplification is indexed using a continuously varying parameter denoted scale. Different analyses c...
Book and Conference Proceedings
Second International Conference, Scale-Space’99 Corfu, Greece, September 26–27, 1999 Proceedings
Chapter and Conference Paper
Automatic segmentation is performed using watersheds of the gradient magnitude and compression techniques. Linear Scale-Space is used to discover the neighbourhood structure and catchment basins are locally me...
Chapter and Conference Paper
The optic flow field is defined as preserving the intensity along flow-lines. Due to singularities in the image at fixed time, poles are created in the optic flow field. In this paper we describe the generic t...