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C V L   S E M I N A R

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Friday, December 5, 11:00 AM

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Computer Vision Laboratory

Center for Automation Research

A.V. Williams Bldg., Room 2120

University of Maryland

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Finding structure in computer vision data

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Prof. David Suter

The University of Adelaide, South Australia

And

Cathy Hang Zhou,

Monash University, Melbourne, Australia

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ABSTRACT

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A great deal of computer vision (and machine learning) can be thought of
as discovering structure in data. At one end of the spectrum, one may
know good candidate models for that structure and thus the problem
becomes one of statistical model fitting. Albeit, in a context rarely
tackled within mainstream statistics. At the other end of the spectrum
one may not know a very precise model and one may wish to use a very
flexible modelling approach (e.g., Gaussian Process, Kernel PCA or other
kernel method), or to use a structure discovery method - e.g. manifiold
learning. This talk will sketch these ideas and then cover some of the
work of the author and his colleagues in improving these techniques and
applying them to computer vision problems such as human motion analysis,
face recognition, structure from motion.

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Short Biography:

David Suter is a professor of Computer Science at The University of
Adelaide, (South Australia). Prior to that he was a Professor of
Electrical and Computer Systems Engineering at Monash University
(Melbourne, Australia). He holds  BSc (The Flinders University of South
Australia) in applied mathematics and physics and a PhD (La Trobe
University, Melbourne Australia) in computer vision. He currently serves
on the College of Experts (Australian Research Council) and on the
editorial board of IJCV, JMIV; and has previously served on the
editorial boards of MVA and IJ Image and Graphics.  His is General
Co-Chair of ICIP Melbourne, Australia 2013.

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Cathy Hang Zhou is currently a PhD student (supervised by Prof. David
Suter) in the Dept of Electrical & Computer Systems Engineering at
Monash University (in Melboure, Australia). Her major research interest
is Gaussian Process machine learning and its application in computer
vision. She finished her undergraduate study in Tsinghua University
(Beijing, China) and holds BEng in Electrical & Electronics Engineering.
She has been working in the video surveillance industry for 10 years.

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For more information, contact Janice M. Perrone at (301) 405-1736 or
janice@umiacs.umd.edu

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<div class=3DSection1>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoTitle>C V L&nbsp;&nbsp; S E M I N A R<span =
style=3D'font-size:10.0pt'><o:p></o:p></span></p>

<p class=3DMsoTitle><span =
style=3D'font-size:10.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b><span
style=3D'font-size:14.0pt'>Friday, December 5, 11:00 =
AM<o:p></o:p></span></b></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:20.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Computer =
Vision
Laboratory<o:p></o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'>Center =
for Automation
Research<o:p></o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b>A.V. =
Williams
Bldg., Room 2120<o:p></o:p></b></p>

<p class=3DMsoNormal align=3Dcenter =
style=3D'text-align:center'>University of
Maryland<o:p></o:p></p>

<p class=3DMsoTitle><span =
style=3D'font-size:10.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoTitle><span =
style=3D'font-size:10.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
class=3Dapple-style-span><b><span style=3D'font-family:"Times New =
Roman","serif"'>Finding
structure in computer vision data<o:p></o:p></span></b></span></p>

<p class=3DMsoNormal align=3Dcenter =
style=3D'text-align:center'><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
class=3Dapple-style-span><b><span style=3D'font-family:"Times New =
Roman","serif"'>Prof.
David Suter</span></b></span><span =
class=3Dapple-style-span><o:p></o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
class=3Dapple-style-span><span style=3D'font-family:"Times New =
Roman","serif"'>The
University of Adelaide, South Australia<o:p></o:p></span></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
class=3Dapple-style-span><span style=3D'font-family:"Times New =
Roman","serif"'>And<o:p></o:p></span></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><b><span
style=3D'font-family:"Times New Roman","serif"'>Cathy Hang =
Zhou,</span></b><b><o:p></o:p></b></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-family:"Times New Roman","serif"'>Monash University, =
Melbourne,
Australia<o:p></o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-family:"Times New =
Roman","serif"'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-family:"Times New =
Roman","serif"'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:10.0pt;font-family:"Times New =
Roman","serif"'>ABSTRACT<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'text-align:justify'><span =
style=3D'font-family:"Times New =
Roman","serif"'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-family:"Times New =
Roman","serif"'>&nbsp;<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'text-align:justify'><span =
class=3Dapple-style-span><span
style=3D'font-size:10.0pt;font-family:"Times New Roman","serif"'>A great =
deal of
computer vision (and machine learning) can be thought of as discovering
structure in data. At one end of the spectrum, one may know good =
candidate
models for that structure and thus the problem becomes one of =
statistical model
fitting. Albeit, in a context rarely tackled within mainstream =
statistics. At
the other end of the spectrum one may not know a very precise model and =
one may
wish to use a very flexible modelling approach (e.g., Gaussian Process, =
Kernel
PCA or other kernel method), or to use a structure discovery method - =
e.g.
manifiold learning.</span></span><span =
style=3D'font-size:10.0pt;font-family:
"Times New Roman","serif"'> </span><span class=3Dapple-style-span><span
style=3D'font-size:10.0pt;font-family:"Times New Roman","serif"'>This =
talk will
sketch these ideas and then cover some of the work of the author and his
colleagues in improving these techniques and applying them to computer =
vision
problems such as human motion analysis, face recognition, structure from
motion.</span></span><span style=3D'font-size:10.0pt;font-family:"Times =
New Roman","serif"'><o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'text-align:justify'><span =
style=3D'font-size:10.0pt;
font-family:"Times New Roman","serif"'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal style=3D'text-align:justify'><span =
class=3Dapple-style-span><span
style=3D'font-size:10.0pt;font-family:"Times New Roman","serif"'>Short =
Biography:</span></span><span
style=3D'font-size:10.0pt;font-family:"Times New =
Roman","serif"'><o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'text-align:justify'><span =
class=3Dapple-style-span><span
style=3D'font-size:10.0pt;font-family:"Times New Roman","serif"'>David =
Suter is a
professor of Computer Science at The University of Adelaide, (South =
Australia).
Prior to that he was a Professor of Electrical and Computer Systems =
Engineering
at Monash University (Melbourne, Australia). He holds &nbsp;BSc (The =
Flinders
University of South Australia) in applied mathematics and physics and a =
PhD (La
Trobe University, Melbourne Australia) in computer vision. He currently =
serves
on the College of Experts (Australian Research Council) and on the =
editorial
board of IJCV, JMIV; and has previously served on the editorial boards =
of MVA
and IJ Image and Graphics. &nbsp;His is General Co-Chair of ICIP =
Melbourne,
Australia 2013.</span></span><span =
style=3D'font-size:10.0pt;font-family:"Times New =
Roman","serif"'><o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'text-align:justify'><span =
style=3D'font-size:10.0pt;
font-family:"Times New Roman","serif"'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal =
style=3D'text-align:justify;text-autospace:none'><span
style=3D'font-size:10.0pt;font-family:"Times New Roman","serif"'>Cathy =
Hang Zhou
is currently a PhD student (supervised by Prof. David Suter) in the Dept =
of
Electrical &amp; Computer Systems Engineering at Monash University (in
Melboure, Australia). Her major research interest is Gaussian Process =
machine
learning and its application in computer vision. She finished her =
undergraduate
study in Tsinghua University (Beijing, China) and holds BEng in =
Electrical
&amp; Electronics Engineering. She has been working in the video =
surveillance
industry for 10 years.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-family:"Times New =
Roman","serif"'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:10.0pt'>For more information, contact Janice M. =
Perrone at
(301) 405-1736 or janice@umiacs.umd.edu</span><span =
style=3D'font-size:26.0pt'><o:p></o:p></span></p>

<p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p>&nbsp;=
</o:p></span></p>

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