Evolutionary Controller Synthesis for 3-D Character Animation
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @PhdThesis{gritz:dissertation,
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author = "Larry Israel Gritz",
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title = "Evolutionary Controller Synthesis for 3-D Character
Animation",
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school = "The George Washington University",
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year = "1999",
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address = "Washington, DC, USA",
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month = "15 " # may,
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keywords = "genetic algorithms, genetic programming, computer
animation",
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URL = "http://www.icg.seas.gwu.edu/Publications/gritzdissert.ps.gz",
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broken = "http://www.seas.gwu.edu/~graphics/papers/gritzdissert.html",
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size = "113 pages",
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abstract = "Three dimensional computer animation has become
increasingly popular over the past decade. Computer
animation now has an important role in entertainment,
education, and simulation. For computer animation of
characters, the role of the animator has unfortunately
stayed similar to that of a stop motion animator,
rather than like a film director. Research in computer
animation has tried to address this by giving higher
levels of control to the animator, but these methods
often result in lack of fine control over the animated
characters. This is inadequate because fine control is
essential to both aesthetics and the ability of the
animator to direct a meaningful narrative. This
dissertation presents methods of articulated figure
motion control which attempt to bridge the gap between
high level direction and low level control of subtle
motion. These methods define motion in terms of goals
and ratings. The agents are dynamically-controlled
robots whose behavior is determined by robotic
controller programs. The controller programs for the
robots are evaluated at each time step to yield torque
values which drive the dynamic simulation of the
motion. We use the AI technique of Genetic Programming
(GP) to automatically derive control programs for the
agents which achieve the goals. This type of motion
specification is an alternative to key framing which
allows a highly automated, learning-based approach to
generation of motion. This method of motion control is
very general (it can be applied to any type of motion),
yet it allows for specifications of the types of
specific motion which are desired for a high quality
animation. We show that complex, specific, physically
plausible, and aesthetically appealing motion can be
generated using these methods. Both skill-based and
action-based motion can be specified in this manner. We
also introduce the new paradigm of key marks, a
generalization of key framing which is not subject to
many of the limitations of key framing.",
- }
Genetic Programming entries for
Larry Gritz
Citations