The information is at the present time often saved and available in electronic form. With still increasing quantity of accessible, most frequently text information, the need of or...
Milan Gudaba, Stanislav Horal, Ladislav Izakovic, ...
In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a reg...
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that co...
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...