Added Richard Mann's talk.
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<!-- Spring 2004 -->
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<eventitem date="2004-06-17" time="4:00 PM" room="MC 2066"
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title="``Optical Snow'': Motion parallax and heading computation in densely cluttered scenes. -or- Why Computer Vision needs the Fourier Transform!">
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<short>A talk by Richard Mann; School of Computer Science</short>
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<abstract>
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<p>
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When an observer moves through a 3D scene, nearby surfaces move faster in the
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image than do distant surfaces. This effect, called motion parallax, provides
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an observer with information both about their own motion relative the scene,
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and about the spatial layout and depth of surfaces in the scene.
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</p>
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<p>
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Classical methods for measuring image motion by computer have concentrated on
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the cases of optical flow in which the motion field is continuous, or layered
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motion in which the motion field is piecewise continuous. Here we introduce a
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third natural category which we call ``optical snow''. Optical snow arises in
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many natural situations such as camera motion in a highly cluttered 3-D scene,
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or a passive observer watching a snowfall. Optical snow yields dense motion
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parallax with depth discontinuities occurring near all image points. As such,
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constraints on smoothness or even smoothness in layers do not apply.
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</p>
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<p>
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We present a Fourier analysis of optical snow. In particular we show that,
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while such scenes appear complex in the time domain, there is a simple
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structure in the frequency domain, and this may be used to determine the
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direction of motion and the range of depths of objects in the scenes. Finally
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we show how Fourier analysis of two or more image regions may be combined to
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estimate heading direction.
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</p>
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<p>
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This talk will present current research at the undergraduate level. All are
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welcome to attend.
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</p>
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</abstract>
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</eventitem>
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<eventitem date="2004-05-26" time="5:30 PM"
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room="DC 1350" title="Computing's Next Great Empires: The True Future of Software">
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<short>A talk by Larry Smith</short>
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