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» Computing Visual Attention from Scene Depth
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ISVC
2007
Springer
15 years 3 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
WAPCV
2004
Springer
15 years 3 months ago
Visual Attention for Object Recognition in Spatial 3D Data
In this paper, we present a new recognition system for the fast detection and classification of objects in spatial 3D data. The system consists of two main components: A biologic...
Simone Frintrop, Andreas Nüchter, Hartmut Sur...
CISS
2011
IEEE
14 years 1 months ago
Hardware accelerated visual attention algorithm
— We present a hardware-accelerated implementation of a bottom-up visual attention algorithm. This algorithm generates a multi-scale saliency map from differences in image intens...
Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Cl&...
NIPS
2007
14 years 11 months ago
Congruence between model and human attention reveals unique signatures of critical visual events
Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
Robert J. Peters, Laurent Itti
SI3D
1997
ACM
15 years 1 months ago
Attention and Visual Feedback: The Bimanual Frame of Reference
We investigate the synergy of the two hands for virtual object manipulation. We report results from an experiment which suggest that the two hands together provide sufficient per...
Ken Hinckley, Randy F. Pausch, Dennis Proffitt