This paper introduces an efficient method to substantially increase the recognition performance of a vocabulary tree based recognition system. We propose to enhance the hypothesi...
Sandra Ober, Martin Winter, Clemens Arth, Horst Bi...
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
— Tactile information is valuable in determining properties of objects that are inaccessible from visual perception. In this work, we present a tactile perception strategy that a...
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...