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Perceptual inference of three-dimensional structure from motion

ReferenceS09621
Principal Investigator / Supervisor Professor Andrew John Parker
Co-Investigators /
Co-Supervisors
Institution University of Oxford
DepartmentExperimental Psychology
Funding typeResearch
Value (£) 64,148
StatusCompleted
TypeResearch Grant
Start date 01/04/1998
End date 07/10/1999
Duration18 months

Abstract

To determine how the human visual system estimates three-dimensional (3D) scene structure from retinal motion. The approach will combine two techniques: psychophysical experimentation in which observers will be required to make perceptual judgements about computer-simulated 3D scenes; and computational modelling of these data using Bayesian statistics. The project will focus on two key questions. First, how accurately are the image motions from a 3D scene measured, integrated and represented by the visual system? Second, how do prior assumptions about the visual world influence the perceived scene? The findings will have important implications for neuroscience regarding 3D vision and the interaction between perception and learning.

Summary

unavailable
Committee Closed Committee - Animal Sciences (AS)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative X - not in an Initiative
Funding SchemeX – not Funded via a specific Funding Scheme
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