Computer Animation for Articulated 3D Characters

overhead is small. Motion data analysis and processing is particularly important
with the advent of movement capture methods from 2D video images, especially
if the movement is extracted from general purpose video material where motions
are not executed separately and expressively, with motion capture in mind.
We need qualitative analysis to break captured movements (regardless from the
source) into basic movements that represent separate actions, for a variety of
combination possibilities, together with animation data qualitative variation
based on movement parameters and psychological (mood, emotion) factors to
simulate compelling animations for agent and avatar 3D characters.
Regarding the actual motion analysis and alteration methods, many options
exist. However, in the light of possibly using complex movement data captured
from video sources, an obvious choice would be a motion segmentation method
based on motion curve parameters, where the derivatives show movement endpoints,
making the separation of movement sequences into basic movements
possible. However, this method would have to be extended to extract the overlapping
movement sequences of video based movement capture data, since in
that case the movements are most likely mixed.
References
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Shi, and Martha Palmer. Real Time Virtual Humans. In Proceedings
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[4] Norman I. Badler, Diane Chi, and Sonu Chopra. Virtual Human Animation
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