Abstract. This paper presents a methodology for the automatic segmentation of rock-scenes using a combination of range and intensity vision. A major problem in rock scene segmentat...
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
This paper proposes a system for an automatic detection of indoor scene events with interactive inquiry based on speech dialog and gesture recognition. he system detects the events...
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...
Abstract. This paper presents viewpoint-dependent constraints that relate image features such as t-junctions and inflections to the pose of curved 3D objects. These constraints can...