Talk 3
March, 22, 11:00 am
Joe Marks
MERL - Mitsubishi Electric Research Laboratories
Cambridge Research Lab
Tangible Interaction + Graphical Interpretation:
A "Smart Graphics" Approach to 3D Modeling
Abstract:
Artists using standard 3D modeling packages must specify
precisely
the geometric and material properties of the models they
create,
and therein lies much of the complexity and tedium of using
those
tools. By contrast, children playing with construction toys
like Lego and K'nex make simple models easily, and use their
imaginations to fill in the details. We would like to
transform
computer-based geometric modeling into that same kind of
playful,
tactile experience but without sacrificing the ability to
create
the interesting geometric detail and movement that make 3D
graphics
and animation compelling. To retain the tactile experience of
model manipulation, we look to tangible-interface technology;
and to create detailed, fully realized models, we use "Smart
Graphics" methods for graphically interpreting a nascent
model by recognizing and augmenting its salient features.
This combination of tangible interaction and graphical
interpretation is investigated in a pair of case studies.
Tangible modeling can be approached in two ways: either by
directly instrumenting the modeling medium with embedded
computation or by using external sensors to capture the
geometry.
Our first system consists of computational building blocks
assembled into physical structures that in their aggregate
determine and communicate their own geometric arrangement.
A rule-based system interprets these structures as buildings,
parses their architectural features, then adds geometric detail
and decorative enhancements automatically. Our second system
uses simple and robust computer vision to capture volumetric
scans of clay models of such common toy-like objects as
people, animals, trees, houses, cars, and boats. A volumetric
matching algorithm allows us to recognize, interpret, and
bring the clay models to (virtual) life.
Joint work with: D. Anderson, J. Frankel, A. Agarwala, P.
Beardsley,
J. Hodgins, D. Leigh, K. Ryall, E. Sullivan, and J. Yedidia.
Bio:
Joe Marks grew up in Dublin, Ireland, before coming to the U.S.
for
college. He earned a Ph.D. in Computer Science from Harvard
University
in 1991. He has worked previously at Bolt Beranek and Newman
and
at Digital's Cambridge Research Laboratory. He is currently
the
Director of MERL's Cambridge Research Lab. His main areas of
interest are computer graphics, human-computer interaction,
and heuristic optimization.
More information can be found at http://www.merl.com/people/marks/index.html.