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<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>When:
Thursday, April 17 @ 10:30am<b><span style='font-weight:bold'><o:p></o:p></span></b></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>Where:
TTI-C Conference Room<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>Who:
Ashok Veeraraghavan, <st1:PlaceType w:st="on">University</st1:PlaceType>
of <st1:PlaceName w:st="on">Maryland</st1:PlaceName>, <st1:place w:st="on"><st1:City
w:st="on">College Park</st1:City></st1:place><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>Topic:
"Less
is More" - Coded Computational Photography<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>I will present the idea that a
simple patterned attenuator (mask) acts as a very powerful modulator and allows
us to come up with enhanced optical designs for alleviating many of the
problems with traditional photography such as motion blur, focus blur and
glare. I will show how a simple mask that can be printed on a transparency
allows dramatic increase in the depth of field of the camera. Next, I
will argue that alternative higher-dimensional representations of visual
information (such as light-fields) allow for efficient and tractable algorithms
for several traditionally hard vision problems such as depth estimation and
separation of depth and texture edges. I will discuss how a simple high
resolution mask allows the recovery of light-fields from a single captured image.<o:p></o:p></span></font></p>
<p class=MsoNormal style='text-autospace:none'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>I will also briefly touch upon another area of interest -
Pattern recognition in video and show applications of such techniques to
problems such as action recognition, simultaneous tracking and behavior
analysis and video mining. The common link underlying these applications is the
use of spatio-temporal information for robust estimation.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>Contact:
Greg Shakhnarovich,
TTI-C greg@tti-c.org
834-2572 <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'> <o:p></o:p></span></font></p>
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