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Human motion retargeting with trajectory constraints

Authors: Weilan Luo;

Human motion retargeting with trajectory constraints

Abstract

The captured motion data can be utilized to produce kinds of animation for different characters. We propose a method to represent simulated motion, especially exaggerative motion by filtering the joint trajectories. The motion style is changed by shrinking or squashing the corresponding 3D trajectories. The similar but exaggerative motion with articulated constraints is generated by the inverse kinematic method. The motion of different characters can be combined to generate interactive human animation. Our method can also be utilized for motion segmentation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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