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Depth from Blur

Prof. Michael Langer
School of Computer Science McGill University

November 21, 2014 at  10:30 AM
McConnell Engineering Room 103


An optical system such as an eye or camera will be focussed only at one depth at any time. The blur of any scene point will depend in general on the distance between that point and the focal plane. I will discuss a few of the fundamental computational problems that involve perceiving depth from blur, both in human vision and in computer vision. I will concentrate on two problems in particular where blur interacts with occlusions and binocular disparity. For human vision, there is mixed evidence that blur can be used to solve these problems. I will review some of this evidence and the intriguing reasons why it is mixed.


Michael Langer received a B.Sc. from McGill in Mathematics, an M.Sc. in Computer Science from the University of Toronto and a Ph.D. from McGill. He held post-doctoral positions at the NEC Research Institute and at the Max-Planck-Institute for Biological Cybernetics. He has been a professor in the School of Computer Science at McGill since 2000.