Abstract In this paper we extend a multi-camera model for simultaneous estimation of 3d position, normals, and 3d motion of surface patches [17] to be able to handle brightness cha...
Image segmentation based on pairwise pixel similarities has been a very active field of research in recent years. The drawbacks common to these segmentation methods are the enormou...
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
We address the problem of describing the mean object for a set of planar shapes in the case that the considered dissimilarity measures are semi-metrics, i.e. in the case that the t...
Abstract. Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used c...
Claudia Kondermann, Daniel Kondermann, Bernd J&aum...
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Abstract. The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Du...
Abstract. In the research area of historical documents it is of high interest to reconstruct the process of the emergence of a historical typesetted document. Therefore, the chrono...
Joost van Beusekom, Faisal Shafait, Thomas M. Breu...
Variational methods are among the most successful approaches to calculate the optical flow between two image frames. A particularly appealing formulation is based on total variati...