We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
Real scenes are full of specularities (highlights and reflections), and yet most vision algorithms ignore them. In order to capture the appearance of realistic scenes, we need to ...
Rahul Swaminathan, Sing Bing Kang, Richard Szelisk...
3D reconstruction of urban environments is a widely studied subject since several years, as it can lead to many useful applications: virtual navigation, augmented reality, archite...
For the first time, we present an AM-FM image model that, in addition to being remarkably consistent with human visual perception, also provides perfect reconstruction of the imag...
In this paper, a new method of feature extraction with rotation invariant property is presented. One of the main contributions of this study is that a rotation invariant signature...