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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/117842...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Simulating Reactive Motions for Motion Capture Animation

Authors: Bing Tang; Zhigeng Pan; Le Zheng; Mingmin Zhang;

Simulating Reactive Motions for Motion Capture Animation

Abstract

In this paper, we propose a new method for simulating reactive motions for motion capture animation. The goal is to generate realistic behaviors under unexpected external forces. A set of techniques are introduced to select a motion capture sequence which follows an impact, and then synthesize a believable transition to this found clip for character interaction. Utilizing a parallel simulation, our method is able to predict a character's motion trajectory under dynamics, which ensures that the character moves towards the target sequence and makes the character's behavior more life-like. In addition, the mechanism of parallel simulation with different time steps is flexible for simulation of multiple contacts in a series when multiple searches are necessary. Our controller is designed to generate physically plausible motion following an upcoming motion with adjustment from biomechanics rules, which is a key to avoid an unconscious look for a character during the transition.

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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!
4
Average
Top 10%
Average
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