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Foot Trajectory Kept Motion Retargeting

Authors: Xiaomeng Feng; Shi Qu; Lingda Wu;

Foot Trajectory Kept Motion Retargeting

Abstract

This paper presents a novel method for retargeting motions. In this method we consider the whole leg as a length changeable skeleton, through keeping the length proportion and direction of the leg vector before and after retargeting we can accomplish the motion retargeting by scale the root node. Because we transform the constraint of foot position to the constraints of the leg vector's length and direction and adjusting the leg vector is easy, our method need not the complex optimization algorithm. The experimental results show that the method is a real-time method and the characteristic of foot trajectory can be kept after retargeting.

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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!
2
Average
Average
Average
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