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Status : Active
Socio-Economic Objective : Diagnostic Methods
Research Topic : visual perception
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP190102916

    Funder
    Australian Research Council
    Funding Amount
    $268,054.00
    Summary
    A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual perfo .... A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual performance. Intended benefits of this knowledge include the development of artificial systems and improved training environments to facilitate and enhance human expert visual processing.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT190100623

    Funder
    Australian Research Council
    Funding Amount
    $1,015,000.00
    Summary
    In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases .... In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.
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    Showing 1-2 of 2 Funded Activites

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