The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
An important topic in face recognition as well as in video coding or multi-modal human machine interfaces is the automatic localization of faces or headand-shoulder regions in vis...
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...