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Keynote
Lecture 1
Video User Interfaces |
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![](Images/Keynote_Lectures/p_robinson.jpg) |
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Dr. Peter Robinson,
University of Cambridge,
U.K.
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Brief
Bio:
Peter Robinson is Reader in Computer Technology and Deputy
Head of Department at the University of Cambridge Computer
Laboratory in England, where he leads the Rainbow Group
working on computer graphics, interaction and electronic
CAD. He is also a Fellow, Praelector and Director of Studies
in Computer Science at Gonville & Caius College where he
previously studied for a first degree in Mathematics and
a PhD in Computer Science under Neil Wiseman.
Dr Robinson's research interests are in the general area
of applied computer science. The main focus for this is
human-computer interaction, where he has been leading work
for some years on the use of video and paper as part of
the user interface. He also works on electronic design automation
and, in particular, on support for self-timed circuits.
He lectures in the Computer Science Tripos and Diploma in
Computer Science on Discrete Mathematics and VLSI Design,
with occasional lectures on Electronic CAD, Computer Graphics
and Java.
He is a Chartered Engineer and a Fellow of the British Computer
Society.
Abstract:
The increasing power and falling cost of computers, combined
with improvements in digital projectors and cameras, are
making the use of video interaction in human-computer interfaces
more popular. This talk will present two recent video interface
projects at the University of Cambridge.
People manage large amounts of information on a physical
desk, using the space to arrange different documents to
facilitate their work. The 'desk top' on a computer screen
only offers a poor approximation. The Escritoire is a desk-based
interface for a personal workstation that uses two overlapping
projectors to create a foveal display: a large display surface
with a central, high resolution region to allow detailed
work. Multiple pen input devices are calibrated to the display
to allow input with both hands. A server holds the documents
and programs while multiple clients connect to collaborate
on them. [Work by Mark Ashdown]
Facial displays are an important channel for the expression
of emotions, and are often thought of as projections of
a person's mental state. Computer systems generally ignore
this information. Mind-reading interfaces infer users' mental
states from facial expressions, giving them a degree of
emotional intelligence. Video processing is used to track
two dozen features on the user's face. These are then interpreted
as basic action units, which are interpreted using statistical
techniques as one of six basic emotions or 18 more complex
cognitive emotions. [Work by Rana el Kaliouby] i |
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Keynote
Lecture 2
Computer Graphics and the Illusion of Life |
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![](Images/Keynote_Lectures/perlin.jpg) |
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Dr. Ken Perlin,
New York University,
U.S.A. |
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Brief
Bio:
Ken Perlin is a professor in the Media Research Laboratory,
within the Department of Computer Science at New York University.
He directed the NYU Center for Advanced Technology from
1994-2004. His research interests include graphics, animation,
and multimedia. In January 2004 he was the featured artist
at the Whitney Museum of American Art. In 2002 he received
the NYC Mayor's award for excellence in Science and Technology
and the Sokol award for outstanding Science faculty at NYU.
In 1997 he won an Academy Award for Technical Achievement
from the Academy of Motion Picture Arts and Sciences for
his noise and turbulence procedural texturing techniques,
which are widely used in feature films and television. In
1991 he received a Presidential Young Investigator Award
from the National Science Foundation.
Dr. Perlin received his Ph.D. in Computer Science from New
York University in 1986, and a B.A. in theoretical mathematics
from Harvard University in 1979. He was Head of Software
Development at R/GREENBERG Associates in New York, NY from
1984 through 1987. Prior to that, from 1979 to 1984, he
was the System Architect for computer generated animation
at Mathematical Applications Group, Inc., Elmsford, NY,
where the first feature film he worked on was TRON. He has
served on the Board of Directors of the New York chapter
of ACM/SIGGRAPH, and currently serves on the Board of Directors
of the New York Software Industry Association.
Abstract:
Thanks to Moore's Law and GPU technology, real time graphics
is advancing by leaps and bounds. Much of this advance is
being driven by games. But perhaps interactive graphics
can move beyond game play. Perhaps an interactive character
can make you cry, or otherwise move you deeply, in the way
you can be moved by characters in a novel or film. This
could effect a revolution in how society perceives and uses
interactive graphics. In this talk I will show some of the
steps along the way to this revolution. |
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Keynote
Lecture 3
Use of computer vision/computer graphics collaboration techniques
for
post-production applications |
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![](Images/Keynote_Lectures/Gagalowicz.jpg) |
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Prof. André
Gagalowicz,
INRIA Rocquencourt,
France |
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Brief
Bio:
Dr Andre Gagalowicz is a research director at INRIA, FRANCE.
He was the creator of the first laboratory involved in image
analysis/synthesis collaboration techniques in 1984. He
graduated from Ecole Superieure d'Electricite in 1971 (engineer
in Electrical Engineering), obtained his PHD in Automatic
Control from the University of Paris XI, Orsay, in 1973,
and his state doctorate in Mathematics (doctorat d'Etat
es Sciences) from the University of Paris VI (1983). He
is fluent in english, german, russian and polish and got
a bachelor degree in chinese from the University of Paris
IX, INALOCO in 1983. His research interests are in 3D approaches
for computer vision, computer graphics, and their cooperation
and also in digital image processing and pattern recognition.
He received the prizes of the best scientific communication
and the best technical slide at the Eurographics'85 conference.
He was awarded the second prize of the Seymour Cray competition
in 1991 and one of his papers was selected by Computers
and Graphics journal as one of the three best publications
of this journal over the last ten years. He took part to
the redaction of eight books and wrote around two hundreds
publications. He was the founder and the last chairman of
the MIRAGES international conference. The last version of
the MIRAGES conference took place at INRIA, FRANCE between
the 3rd and 5th of March 2005. This conference is exclusively
dedicated to computer vision/computer graphics collaboration
techniques.
Abstract:
I will first explain what is 3D rotoscopy and its role in
post-production applications. Then I will present the computer
vision/computer graphics strategy used to perform this task.
I will first briefly present the case of rigid objects where
the strategy appears clearly. I will then proceed to the
case of articulated objects and especially to the case of
a full human body tracking (when garments are rather tight).
I will present some results related to the tracking of professional
golfers. Finally, I will give some results of face tracking
which is a case of deformable objects. I will conclude with
a presentation of other possible applications of the research
done at the MIRAGES laboratory at INRIA Rocquencourt. |
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Keynote
Lecture 4
Laplacian Shape Modeling |
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![](Images/Keynote_Lectures/alexa.jpg) |
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Prof. Marc Alexa,
TU Berlin,
Germany |
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Brief
Bio:
Marc Alexa is a Professor in the Faculty of Electrical Engineering
and Computer Science at the Technical University of Berlin
and heads the Computer Graphics group. He is primarily interested
in representing shapes and their deformation, using point
sampled geometry, implicit surfaces, explicit representations,
and linear spaces of base shapes. For his earlier work on
morphing he received a PhD in Computer Science from Darmstadt
University of Technology. He has presented and lectured
on topics related to shape representations at SIGGRAPH and
other conferences. Marc Alexa has been a co-chair and has
served as a member of several committees of major graphics
conferences.
Abstract:
Surface geometry is commonly represented by a collection
of connected primitives, typically triangles meeting in
edges. The geometry depends on vertex positions and the
connectivity graph among the primitives and, consequently,
the Laplace operator of this graph can be used to process
the geometry. The properties of the basic and several refined
approaches will be discussed and demonstrated at the example
of intuitive free form modeling |
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