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Wavelets - Caltech Multi-Res Modeling Group

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1 Prolegomenon<br />

N : Preamble<br />

These are the notes for the Course #26, <strong>Wavelets</strong> and their Applications in Computer Graphics given at<br />

the Siggraph ’95 Conference. They are an longer and we hope improved version of the notes for a similar<br />

course given at Siggraph ’94 (in Orlando). The lecturers and authors of the notes are (in alphabetical order)<br />

Michael Cohen, Tony DeRose, Alain Fournier, Michael Lounsbery, Leena-Maija Reissell, Peter Schröder<br />

and Wim Sweldens.<br />

Michael Cohen is on the research staff at Microsoft <strong>Res</strong>earch in Redmond, Washington. Until recently,<br />

he was on the faculty at Princeton University. He is one of the originators of the radiosity method for<br />

image synthesis. More recently, he has been developing wavelet methods to create efficient algorithms for<br />

geometric design and hierarchical spacetime control for linked figure animation.<br />

Tony DeRose is Associate Professor at the Department of Computer Science at the University of Washington.<br />

His main research interests are computer aided design of curves and surfaces, and he has applied wavelet<br />

techniques in particular to multiresolution representation of surfaces.<br />

Alain Fournier is a Professor in the Department of Computer Science at the University of British Columbia.<br />

His research interests include modelling of natural phenomena, filtering and illumination models. His<br />

interest in wavelets derived from their use to represent light flux and to compute local illumination within a<br />

global illumination algorithm he is currently developing.<br />

Michael Lounsbery is currently at Alias <strong>Res</strong>earch in Seattle (or the company formerly known as such). He<br />

obtained his PhD from the University of Washington with a thesis on multi-resolution analysis with wavelet<br />

bases.<br />

Leena Reissell is a <strong>Res</strong>earch Associate in Computer Science at UBC. She has developed wavelet methods<br />

for curves and surfaces, as well as wavelet based motion planning algorithms. Her current research interests<br />

include wavelet applications in geometric modeling, robotics, and motion extraction.<br />

Peter Schröder received his PhD in Computer Science from Princeton University where his research focused<br />

on wavelet methods for illumination computations. He continued his work with wavelets as a Postdoctoral<br />

Fellow at the University of South Carolina where he has pursued generalizations of wavelet constructions.<br />

Other research activities of his have included dynamic modelling for computer animation, massively parallel<br />

graphics algorithms, and scientific visualization.<br />

Wim Sweldens is a <strong>Res</strong>earch Assistant of the Belgian National Science Foundation at the Department of

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