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Teaching
Research
My research interests are in image processing and machine vision. I
am interested in the fundamental problem of how we parse an image
(just a 2D grid of numbers!) into a coherent and accurate perception
of surfaces in three dimensions. To this end, I'm interested in the
low-level image features that provide the information to get started,
as well as the higher level algorithms that stitch these features into
visible surfaces, perceive shape, reason about occlusion, and perform
amodal completion (seeing things behind other things). Apart from
general image understanding, example applications are human body pose
estimation, tracking, video coding, human-computer interaction, stereo
vision, and omnidirectional imaging.
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