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» Computing Visual Attention from Scene Depth
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NN
2006
Springer
234views Neural Networks» more  NN 2006»
14 years 9 months ago
Attention in natural scenes: Neurophysiological and computational bases
How does attention operate in natural scenes? We show that the receptive fields of inferior temporal cortex neurons that implement object representations become small and located ...
Edmund T. Rolls, Gustavo Deco
3DPVT
2006
IEEE
155views Visualization» more  3DPVT 2006»
15 years 3 months ago
The Reverse Projection Correlation Principle for Depth from Defocus
In this paper, we address the problem of finding depth from defocus in a fundamentally new way. Most previous methods have used an approximate model in which blurring is shift in...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
IJCV
2008
129views more  IJCV 2008»
14 years 9 months ago
Minimal Aspect Distortion (MAD) Mosaicing of Long Scenes
Abstract Long scenes can be imaged by mosaicing multiple images from cameras scanning the scene. We address the case of a video camera scanning a scene while moving in a long path,...
Alex Rav-Acha, Giora Engel, Shmuel Peleg
3DPVT
2004
IEEE
104views Visualization» more  3DPVT 2004»
15 years 1 months ago
Interactive Modeling from Dense Color and Sparse Depth
We are developing a system for interactive modeling of real world scenes. The acquisition device consists of a video camera enhanced with an attached laser system. As the operator...
Voicu Popescu, Elisha Sacks, Gleb Bahmutov
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
15 years 1 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...