AN IMPROVED COMPUTATIONAL MODEL FOR EFFECTIVE 3D ANIMATION
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As humans, our fascination with recreating images of ourselves began with parietal art
many thousands of years ago, and has continued throughout the ages. However, we also
now strive to create moving, thinking, believable, virtual humans, rather than focus
entirely on static images. Moreover, computer generated humans are now integral to the
digital world that encompasses us, yet 3D animation remains rife with challenges. The
overarching objective of the thesis, therefore, is to systematically investigate and design
a comprehensive computational model that leverages the effect of natural motion from
the real-world to mediate enhanced 3D animation production. Thus natural motion is
simulated to support user engagement, leveraged through real-time mapping, and for
control of digital characters through enabling devices for markerless capture. Captured
data is analysed offline to identify potential creative enhancements. As a result of the
comprehensive investigation, contributions include an innovative animation framework
to support real and virtual engagement within immersive environments. The novel
approach simulates motion, through combining elements of real-time game technology
with facets of behaviour simulation from Embodied Conversational Agents.
Contributions are also proposed towards bridging the gap between realistic motion
capture and authoring more stylised 3D cartoon animations. Shortcomings of
transferring natural motion to exaggerated cartoon styled animation are systematically
studied and a solution based on parametric motion curve optimization is proposed.
Intelligent reasoning for validation of temporal sequencing of animation assets using a
structured knowledge model, further contributes towards animation production through
facilitating sharing animation planning across different domains. The computational
model, thus embodies the concept that through systematic investigation of synergies and
differences between natural motion and keyframe animation, the benefits of both can be
fused together to target more efficient, yet believable, and even creative animation
authoring.
Authors
Rivera, Fiona MacDonaldCollections
- Theses [3651]