W&M Featured Events
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William & Mary
[PAST EVENT] Computer Science Colloquium: Jason Lawrence
April 22, 2011
3pm
Accurate models of the way materials scatter and absorb incident light are a
critical component in computer systems that synthesize realistic images of
virtual environments or infer properties of a 3D scene from natural
images. I will discuss emerging data-driven strategies along with my own
research for measuring and modeling the often complex optical properties
of materials such as brushed metal, cloth, wood, marble, and human skin.
In particular, I will highlight a system recently built at the University
of Virginia that allows accurately measuring the 3D shape and material
properties of opaque objects. I will also describe a recent project that
demonstrates how to fabricate physical replicas of complex
spatially-varying materials using an off-the-shelf printer.
Bio:
Jason Lawrence received his Ph.D. from Princeton University and is currently
an assistant professor in the Computer Science Department at the
University of Virginia. His research focuses on efficient representations
and measurement devices for material appearance, real-time and
physically-based rendering algorithms, and large-scale parallel image
processing. He is the recipient of an NSF CAREER award titled, "The
Inverse Shade Tree Framework for Material Acquisition, Analysis, and
Design."
critical component in computer systems that synthesize realistic images of
virtual environments or infer properties of a 3D scene from natural
images. I will discuss emerging data-driven strategies along with my own
research for measuring and modeling the often complex optical properties
of materials such as brushed metal, cloth, wood, marble, and human skin.
In particular, I will highlight a system recently built at the University
of Virginia that allows accurately measuring the 3D shape and material
properties of opaque objects. I will also describe a recent project that
demonstrates how to fabricate physical replicas of complex
spatially-varying materials using an off-the-shelf printer.
Bio:
Jason Lawrence received his Ph.D. from Princeton University and is currently
an assistant professor in the Computer Science Department at the
University of Virginia. His research focuses on efficient representations
and measurement devices for material appearance, real-time and
physically-based rendering algorithms, and large-scale parallel image
processing. He is the recipient of an NSF CAREER award titled, "The
Inverse Shade Tree Framework for Material Acquisition, Analysis, and
Design."
Contact
[[w|ppeers,Pieter Peers]]