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Fredo Durand
MIT-LCS Graphics Group
Cambridge, MA
Friday, March 5, 2004, 11:00am - 12:00pm
LC 102, Brooklyn Campus, Polytechnic University
We introduce billboard clouds -- a new approach for extreme simplification in the context of real-time rendering. 3D models are simplified onto a set of planes with texture and transparency maps. We present an optimization approach to build a billboard cloud given a geometric error threshold. After computing an appropriate density function in plane space, a greedy approach is used to elect suitable representative planes. A good surface approximation is ensured by favoring planes that are "nearly tangent" to the model. This method does not require connectivity information, but instead avoids cracks by projecting primitives onto multiple planes when needed. For extreme simplification, our approach combines the strengths of mesh decimation and image-based impostors. We demonstrate our technique on a large class of models, including smooth manifolds and composite objects. This is joint work with Xavier Decoret, Francois Sillion, and Julie Dorsey.
Bio:
Frédo Durand received his PhD from Grenoble University (France) in 1999.
He worked with Claude Puech and George Drettakis on both theoretical and
practical aspects of 3D visibility. From 1999 till 2002, he has been a
post-doc in the MIT Computer Graphics Group with Julie Dorsey, where he
is now an assistant professor. His research interests span most aspects
of picture generation and creation. This includes realistic image
synthesis and display acceleration for real-time graphics, using tools
such as 3D geometry, visibility calculations and perceptual models. He
is also working on image based-rendering, with a strong emphasis on the
manipulation and alteration of hyrbid representations between images and
geometry, which has applications to special effects, digital photography
and video. He has recently been interested in non-photorealistic
rendering, a field that attempts to imitate traditional pictorial
styles, where his long-term goal is the parameterization and capture of
the elusive notion of style.
For further information or to meet with the speaker please contact: Hervé Brönnimann [hbr@poly.edu]