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Université de Neuchâtel

Contribution of depth to visual attention: comparison of a computer model and human

Jost, Timothée ; Ouerhani, Nabil ; von Wartburg, Roman ; Müri, René ; Hügli, Heinz

In: Proceedings. Early cognitive vision workshop, 2004, p. 1-4

The research described in this paper aims at assessing the contribution of depth to visual attention. It reports the measurement of depth induced human visual attention derived from fixation patterns and preliminary results of a quantitative comparison with visual attention as modeled by different versions of a computational model. More specifically, a two-cues color model is compared to a...

Université de Neuchâtel

Assessing the contribution of color in visual attention

Jost, Timothée ; Ouerhani, Nabil ; von Wartburg, Roman ; Müri, René ; Hügli, Heinz

In: Computer Vision and Image Understanding, 2005, vol. 100, no. 1-2, p. 107-123

Visual attention is the ability of a vision system, be it biological or artificial, to rapidly detect potentially relevant parts of a visual scene, on which higher level vision tasks, such as object recognition, can focus. The saliency-based model of visual attention represents one of the main attempts to simulate this visual mechanism on computers. Though biologically inspired, this model has...

Université de Neuchâtel

Empirical Validation of the Saliency-based Model of Visual Attention

Ouerhani, Nabil ; Hügli, Heinz ; Müri, René ; Von Wartburg, Roman

In: Electronic Letters on Computer Vision and Image Analysis, 2003, vol. 3(1), p. 13-23

Visual attention is the ability of the human vision system to detect salient parts of the scene, on which higher vision tasks, such as recognition, can focus. In human vision, it is believed that visual attention is intimately linked to the eye movements and that the fixation points correspond to the location of the salient scene parts. In computer vision, the paradigm of visual attention has...