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» Exploring Human Eye Behaviour using a Model of Visual Attent...
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NIPS
2007
13 years 9 months ago
Predicting human gaze using low-level saliency combined with face detection
Under natural viewing conditions, human observers shift their gaze to allocate processing resources to subsets of the visual input. Many computational models try to predict such v...
Moran Cerf, Jonathan Harel, Wolfgang Einhäuse...
ICIC
2007
Springer
14 years 1 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
CVPR
2012
IEEE
11 years 10 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
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
ICRA
2009
IEEE
157views Robotics» more  ICRA 2009»
14 years 2 months ago
From pixels to objects: Enabling a spatial model for humanoid social robots
— This work adds the concept of object to an existent low-level attention system of the humanoid robot iCub. The objects are defined as clusters of SIFT visual features. When th...
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventur...