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» Computing Visual Attention from Scene Depth
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ICPR
2004
IEEE
15 years 10 months ago
Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons
We propose a system that reads the text encountered in natural scenes with the aim to provide assistance to the visually impaired persons. This paper describes the system design a...
Nobuo Ezaki, Marius Bulacu, Lambert Schomaker
CVPR
1996
IEEE
15 years 11 months ago
Minimal operator set for passive depth from defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. We propose a class of broadband operators that, when used together, provide inva...
Masahiro Watanabe, Shree K. Nayar
AAAI
2012
13 years 2 days ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
3DPVT
2004
IEEE
15 years 1 months ago
Recognition of Object Contours from Stereo Images: An Edge Combination Approach
In this paper, we present an algorithm to combine edge information from stereo-derived depth maps with edges from the original intensity/color image to improve the contour detecti...
Margrit Gelautz, Danijela Markovic
VMV
2004
126views Visualization» more  VMV 2004»
14 years 11 months ago
Top-Down Visual Attention for Efficient Rendering of Task Related Scenes
The perception of a virtual environment depends on the user and the task the user is currently performing in that environment. Models of the human visual system can thus be exploi...
Veronica Sundstedt, Alan Chalmers, Kirsten Cater, ...