A method is presented for computing the radiometric response function of a camera from a single grayscale image. While most previous techniques require a set of registered images ...
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified usi...
We have developed a new algorithm and software for graph coloring by systematically combining several algorithm and software development ideas that had crucial impact on the algor...
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...