Computational Neuroscience InitiativeMonday, November 28, 2016 - 12:00pm
Barchi Library, 140 John Morgan Building
Emily Cooper
Computational Vision Group
Department of Psychological and Brain Sciences
Dartmouth College
What 3D Scene Statistics Tell Us About 3D Vision
Abstract: The study of natural image statistics has yielded substantial advances in our understanding of the organizing principles of early visual processing. Less is known about how these principles apply to 3D vision because of the technical challenges involved in measuring the relevant statistics. I will describe measurements of 3D statistics captured with a custom-built eye and scene tracking system. I will compare these measurements to perceptual and neurophysiological properties of 3D vision and consider the implications for how 3D information is extracted and interpreted by the visual system.
Abstract: The study of natural image statistics has yielded substantial advances in our understanding of the organizing principles of early visual processing. Less is known about how these principles apply to 3D vision because of the technical challenges involved in measuring the relevant statistics. I will describe measurements of 3D statistics captured with a custom-built eye and scene tracking system. I will compare these measurements to perceptual and neurophysiological properties of 3D vision and consider the implications for how 3D information is extracted and interpreted by the visual system.
A pizza lunch will be served.