In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Abstract. We introduce a domain-theoretic computational model for multivariable differential calculus, which for the first time gives rise to data types for differentiable functio...
This paper presents a real-time database modeling complex networks of intersecting roads and walkways in urban virtual environments. The database represents information about the ...