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The prominence of behavioural biases in eye guidance

Abstract When attempting to understand where people look during scene perception, researchers typically focus on the relative contributions of low- and high-level cues. Computational models of the contribution of low-level features to fixation selection, with modifications to incorporate top-down sources of information have been abundant in recent research. However, we are still some way from […]

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Using mixture modelling to distinguish between low- and high-level factors in natural image viewing

Abstract The allocation of overt visual attention while viewing photographs of natural scenes is commonly thought to involve both bottom-up feature cues, such as luminance contrast, and top-down factors such as behavioural relevance and scene under- standing. Profiting from the fact that light sources are highly visible but uninformative in visual scenes, we develop a […]

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Investigating a space-variant weighted salience account of visual selection

Abstract Weighted salience models are a popular framework for image-driven visual attentional processes. These models operate by: sampling the visual environment; calculating feature maps; combining them in a weighted sum and using this to determine where the eye will fixate next. We examine these stages in turn. We find that a biologically plausible non-uniform retinal […]

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