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Components of bottom-up gaze allocation in natural images
Recent research [Parkhurst, D., Law, K., & Niebur, E., 2002. Modeling the role of salience in the allocation of overt visual attention. Vision Research 42 (1) (2002) 107-123] showed that a model ofExpand
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Brain Areas Specific for Attentional Load in a Motion-Tracking Task
Although visual attention is known to modulate brain activity in the posterior parietal, prefrontal, and visual sensory areas, the unique roles of these areas in the control of attentional resourcesExpand
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Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
  • R. J. Peters, L. Itti
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 17 June 2007
TLDR
We present the first model of spatial attention that (1) can be applied to arbitrary static and dynamic image sequences with interactive tasks and (2) combines a general computational implementation of both bottom-up (BU) saliency and dynamic top-down task relevance; the claimed novelty lies in the combination of these elements and in the fully computational nature of the model. Expand
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Applying computational tools to predict gaze direction in interactive visual environments
TLDR
We compared several neurobiologically inspired heuristics with eye-movement recordings from five observers playing video games, and found that human gaze was better predicted by heuristic that detect outliers from the global distribution of visual features than by purely local heurricks. Expand
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Nearpoint of Convergence: Test Procedure, Target Selection, and Normative Data
Background. The purpose of this study was to help determine the most appropriate target to be used for the assessment of the nearpoint of convergence, normative data for the break and recovery inExpand
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Components of bottom-up gaze allocation in natural scenes
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Computational mechanisms for gaze direction in interactive visual environments
TLDR
We found that heuristics which detect outliers from the global distribution of visual features were better predictors of human gaze than were purely local heurricks. Expand
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A New Robotics Platform for Neuromorphic Vision: Beobots
TLDR
This paper is a technical description of a new mobile robotics platform specifically designed for the implementation and testing of neuromorphic vision algorithms in unconstrained outdoors environments. Expand
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Congruence between model and human attention reveals unique signatures of critical visual events
TLDR
We develop a hybrid computational/behavioral framework, combining simple models for bottom-up salience and top-down relevance, and looking for changes in the predictive power of these components at different critical event times during 4.7 hours of observers playing car racing and flight combat video games. Expand
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