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» Computing Visual Attention from Scene Depth
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JVCA
2000
232views more  JVCA 2000»
14 years 9 months ago
Realistic surface reconstruction of 3D scenes from uncalibrated image sequences
This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camer...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
WAPCV
2007
Springer
15 years 3 months ago
A Proto-object Based Visual Attention Model
One of the first steps of any visual system is that of locating suitable interest points, ‘salient regions’, in the scene, to detect events, and eventually to direct gaze towa...
Francesco Orabona, Giorgio Metta, Giulio Sandini
SAC
2009
ACM
15 years 4 months ago
Attention driven visual processing for an interactive dialog robot
In this paper we propose an attention-based vision system for the JAST interactive dialog robot. The robotic vision system incorporates three submodules: object recognition, gestu...
Thomas Müller, Alois Knoll
CVPR
1997
IEEE
15 years 11 months ago
Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields
This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solvin...
Antonis A. Argyros, Stelios C. Orphanoudakis
CVPR
2006
IEEE
15 years 11 months ago
Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
In this paper, we present a prototype video surveillance system that uses stationary-dynamic (or master-slave) camera assemblies to achieve wide-area surveillance and selective fo...
Ankur Jain, Dan Kopell, Kyle Kakligian, Yuan-Fang ...