We propose an efficient multiscale image disparity estimation algorithm that estimates the local translations needed to align different regions in two images. The algorithm is bas...
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
False path analysis is an activity with applications in a variety of computer science and engineering domains like for instance high-level synthesis, worst case execution time est...
Photon tracing and density estimation are well established techniques in global illumination computation and rendering of high-quality animation sequences. Using traditional densi...
Markus Weber, Marco Milch, Karol Myszkowski, Kiril...