"Spatial Augmented Reality is a rapidly emerging field which concerns everyone
working in digital art and media who uses any aspects of augmented
reality and is interested i...
This paper presents a method for representing uncertainty in spatial data in a database. The model presented requires moderate amounts of storage space. To compute the probability...
Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. Many of the previous methods, which adopt note segmentat...
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...