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Point Lattices in Computer Graphics and VisualizationVisualization 2005Tutorial 4 - Monday 8:30 - 5:30Minneapolis, Minnesota, October 24, 2005 |
| Course Organizer | |
| Torsten Möller
Simon Fraser University | |
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This DVD contains the content of the supplemental material of the tutorial Point Lattices in Computer Graphics and Visualizations given at the conference IEEE Visualization 2005 in October 2005. These materials were prepared before August 1st, 2005. Any additional material added after this production deadline can also be found in the online repository located at http://www.cs.sfu.ca/~torsten/Vis2005/
This course is motivated by the deep connections and applications of
point lattice theory in the mathematics of computer graphics and the role
it plays in multidimensional signal processing and tilings. Next to an
introduction to the theory and history of point lattices and the related
sampling and group theories, we present an in-depth survey from two
different perspectives:
All computational fields in science and engineering have to deal with
discrete representations of continuous phenomena. Clearly, sampling theory
is crucial to provide the essential link between the discrete and the
continuous domain. Digital signal processing algorithms can only act on the
discrete data, but should not loose sight of the continuous-domain aspect
of their operations. As we will show, many interesting practical problems
are best approached from this theoretic framework. Therefore, we will
review general sampling theory in arbitrary dimensions and focus on recent
developments for optimal lattices. This part will contain many examples and
good-practice in image processing, medical imaging, and volume rendering.
We survey reconstruction filter designs, wavelet techniques, medical
reconstruction, discretization and rendering aspects for 2D, 3D, and 4D
lattices. At the end, the attendee will comprehend how to put a proper
discrete/continuous model for his/her application.
The study of the formation and structure of crystals has been the
interest of scientists for many centuries. Consequently, the symmetries and
translation invariant properties of point lattices have been studied and
investigated thoroughly in the field of crystallography and solid-state
physics. Group theory brought mathematical rigor to these fields. We take
the opportunity in this course to migrate the most interesting results from
this domain to the computer graphics community. Besides intricate
mathematical concepts, regular structures have a strong aesthetic impact
and have been incorporated into artistic expressions from ancient
ornamental structures to famous works of Escher and general tiling
patterns. In this part, we introduce fundamental group theory related to
point lattices; we also effectively demonstrate geometric tools for the
visualization of tilings and patterns in 2D, 3D, and 4D.
Abstract
Index to Course Materials
Tutorial Slides
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Additional Materials
I would like to see whether we can get something like a comprehensive bibliography together here. I started a litte bit and would appreciate your input. This could potentially be it's separate page.
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Alireza Entezari
is a PhD candidate at Simon Fraser University. He received
his bachelor of science in Computing Science from Simon Fraser University
in 2001. His current research focus lies in the interpolation and
reconstruction issues on optimal sampling structures used in scientific
computing and visualization.
Jim Morey
received his PhD in computer science from the University of
Western Ontario (2004), a MSc in pure mathematics from the University of
British Columbia (1996), and a BSc in mathematics from the University of
Guelph (1993). His work combines human computer interactions, mathematics,
and theoretical computer science in designing tools for investigating
repetitive geometric artifacts like tilings, crystal lattices, and
polytopes. The tools have incorporated a number of novel interactive
techniques, interactive representations, and repetitive artifacts. (for
examples see http://www.csd.uwo.ca/~morey/CogEng)
Klaus Mueller
is currently an Assistant Professor at the Computer Science
Department at Stony Brook University, where he also holds co-appointments
at the Biomedical Engineering and the Radiology Departments. He earned an
MS degree in Biomedical Engineering in '91 and a PhD degree in Computer
Science in '98, both from Ohio State University. His current research
interests are computer graphics, visualization, medical imaging, and
computer vision. He won the NSF CAREER award in 2001 and has served as a
program co-chair at various conferences, such the Volume Graphics Workshop,
IEEE Visualization, and the Symposium on Volume Visualization and Graphics.
He has authored over 70 journal and conference papers.
Victor Ostromoukhov
studied mathematics, physics and computer science at
Moscow Institute of Physics and Technology (Psys-Tech, MFTI). After
graduating in 1980, he spent several years with prominent European and
American industrial companies (SG2, Paris; Olivetti, Paris and Milan; Canon
Information Systems, Cupertino, CA) as a research scientist and/or computer
engineer. He completed his Ph.D. in CS at Swiss Federal Institute of
Technology (EPFL, Lausanne, 1995), where he continued to work as a lecturer
and senior researcher. Invited professor at University of Washington,
Seattle, WA, in 1997. Research scientist at Massachusetts Institute of
Technology, Cambridge, MA, in 1999-2000. Associate Professor at University
of Montreal, since August 2000. His research interests are mainly in
computer graphics, and more specifically in non-photorealistic rendering,
sampling, tiling theory, color science, halftoning, and digital art.
Speaker Biographies