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» Is Bottom-Up Attention Useful for Object Recognition
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ICIP
2010
IEEE
13 years 4 months ago
Saliency detection using maximum symmetric surround
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. Recently, full-resolution salient ma...
Radhakrishna Achanta, Sabine Süsstrunk
IV
2000
IEEE
94views Visualization» more  IV 2000»
13 years 12 months ago
Character Recognition of Arabic and Latin Scripts
The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written o...
Fiaz Hussain, John Cowell
AVI
2000
13 years 9 months ago
Diagrams Based on Structural Object Perception
Most diagrams, particularly those used in software engineering, are line drawings consisting of nodes drawn as rectangles or circles, and edges drawn as lines linking them. In the...
Pourang Irani, Colin Ware
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
13 years 11 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
NIPS
2000
13 years 9 months ago
A Productive, Systematic Framework for the Representation of Visual Structure
We describe a unified framework for the understanding of structure representation in primate vision. A model derived from this framework is shown to be effectively systematic in t...
Shimon Edelman, Nathan Intrator