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<p class=MsoNormal><font size=3 face=Arial><span style='font-size:12.0pt;
font-family:Arial'>When:
<b><span
style='font-weight:bold'>Wednesday, March 26, 2008 @ 10:<font color=navy><span
style='color:navy'>0</span></font>0 am<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:
<font color=navy><span style='color:navy'> </span></font>Ira
Kemelmacher-Shlizerman, Weizmann Institute of Science</span></font><o:p></o:p></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'>Topic:
3D Shape
Reconstruction from gray-level and two-tone images</span></font><o:p></o:p></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'><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'>Lighting has a significant effect on
the appearance of objects. At the same time lighting provides information that
can be used to recover the 3-dimensional shape of objects. It is long known
that recovering shape from shading information is ill-posed, yet people appear
to have a good sense of the underlying three-dimensional world already from a
single picture. In this talk I will show how explicit modeling of lighting,
along with the incorporation of prior knowledge, can facilitate 3D
reconstruction. </span></font><o:p></o:p></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face="Times New Roman"><span
style='font-size:12.0pt'> <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'>In the first part of my talk I will
introduce a novel algorithm for 3D shape recovery of faces from single images
using a single 3D reference model of a different person's face. The method uses
the input image as a guide to mold the reference model to reach a desired
reconstruction. Assuming Lambertian reflectance and rough alignment of the
input image and reference model, we seek shape, albedo, and lighting that best
fit the image while preserving the rough structure of the model. We demonstrate
our method by providing accurate reconstructions of novel faces overcoming
significant differences in shape due to gender, race, and facial expressions. </span></font><o:p></o:p></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face="Times New Roman"><span
style='font-size:12.0pt'> <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'>I will then discuss 3D
reconstruction from two-tone images (Mooney images). These images are
fascinating testimonial to the ability of biological vision systems to
accurately handle and interpret impoverished data. Their ambiguous nature, face
specificity, and sudden interpretability have fascinated psychologists and
neurobiologists throughout the past half a century and led to a flurry of
studies. Our analysis indicates that reconstruction from such images is very
ambiguous even if we consider only reconstruction along the "Mooney
transition curve," the boundary curve between black and white pixels. However
with prior knowledge it is possible to successfully recover the 3D shape of
faces from single Mooney images.</span></font><o:p></o:p></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'> </span></font><o:p></o:p></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'>This is joint work with Ronen Basri.
Parts of the work were done in collaboration with Boaz Nadler (Weizmann) and
David W. Jacobs (<st1:place w:st="on"><st1:State w:st="on">Maryland</st1:State></st1:place>).</span></font><o:p></o:p></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:
Ronen Basri, TTI-C <st1:PersonName
w:st="on">ronen.basri@tti-c.org</st1:PersonName>
834-2515<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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12.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
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12.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=3 color=navy face=Arial><span style='font-size:
12.0pt;font-family:Arial;color:navy'><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'> </span></font><o:p></o:p></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=3 face=Arial><span
style='font-size:12.0pt;font-family:Arial'> </span></font><o:p></o:p></p>
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