In [TSP], level curves of a function , called “the edge strength function,” defined for 2–dimensional shapes, are interpreted as successively smoother versions of the initial shape boundary. The local minima of the absolute gradient along the level curves of are shown to be a robust criterion for determining the shape skeleton. More generally, at an extremal point of along a level curve, the le...

Subjects imagined a designated two-dimensional shape rotating within a blank, circular field at a self-determined rate. At some point during the mental rotation, a test shape was presented at one of 12 picture-plane orientations, and the subject was required to determine as rapidly as possible whether the test shape was the same as the originally designated shape or was its mirror image. When t...

Shaping global change adaptation strategy in water resource systems requires an interdisciplinary approachto deal with the multiple dimensions of the problem. The modelling framework presented integrates climate, economic, agronomic and hydrological scenarios to design a programme of adaptation measures at the river basin scale. Future demand scenarios, combined with a down-scaled climate scena...

The paper presents a tool suite centered around the Predator shape analyzer for low-level C code based on the notion of symbolic memory graphs. The paper presents the architecture of the tool suite, the various optimizations and extensions of the original Predator analyzer included into the tool suite, as well as its different possible inputs, options, and outputs.

This paper describes a method to accelerate the generation of shape primitives for N-dimensional images N X . These shape primitives can be used in conditions for topology preserving erosion or skeletonization in Ndimensional images. The method is based on the possibility to describe primitives for intrinsic dimensions 1 N N = − % by quadratic equations of the form ( ) 1 2

Point distribution models have been successful in describing the shape constraints on two dimensional objects for shape description and image search. It is often the case that a class of objects to be modelled contains certain features which may be wholly present or absent in different instances. Moustaches on faces are a common example. Here we describe a method of coding the presence or absen...

We present a novel method to characterize 3D surfaces through the computation of a function called (multiscale) area projection transform, measuring the likelihood of points in the 3D space to be center of radial symmetry at selected scales (radii). The function is derived through a simple geometric framework based on parallel surfaces and can be easily computed on triangulated meshes. It measu...

Model based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and greylevel information more directly than our existi...

Shape derivatives and topological derivatives have been incorporated into level set methods to investigate shape optimization problems. The shape derivative measures the sensitivity of boundary perturbations while the topological derivative measures the sensitivity of creating a small hole in the interior domain. The combination of these two derivatives yields an efficient algorithm which has m...