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IWINAC
2007
Springer
14 years 1 months ago
Optimal Cue Combination for Saliency Computation: A Comparison with Human Vision
The computer model of visual attention derives an interest or saliency map from an input image in a process that encompasses several data combination steps. While several combinati...
Alexandre Bur, Heinz Hügli
PAMI
2002
112views more  PAMI 2002»
13 years 7 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
WSCG
2001
167views more  WSCG 2001»
13 years 9 months ago
Component-Based Architectures for Computer Vision Systems
Research performed in the field of computer vision has steadily ignored recent advances in programming tools and techniques, relying on well-established traditional methods, such ...
A. Economopoulos, Drakoulis Martakos
DAGM
2006
Springer
13 years 11 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
ECCV
2004
Springer
14 years 1 months ago
AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms
Computer vision methods can be applied to a variety of medical and surgical applications, and many techniques and algorithms are available that can be used to recover 3D shapes and...
Andrea Giachetti, Gianluigi Zanetti