Added Richard Mann's talk.

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