Sequential Monte Carlo Inverse Kinematics

Nicolas Courty 1 Elise Arnaud 2
2 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper we propose a new and original approach to solve the Inverse Kinematics problem. Our approach has the advantages to avoid the classical pitfalls of numerical inversion methods such as singularities, accept arbitrary types of constraints and exhibit a linear complexity with respect to degrees of freedom which makes it far more efficient for articulated figures with a high number of degrees of freedom. Our framework is based on Sequential Monte Carlo Methods that were initially designed to filter highly non-linear, non-Gaussian dynamic systems. They are used here in an online motion control algorithm that allows to integrate motion priors. Along with practical results that show the effectiveness and convenience of our method, we also describe potential follow-ups for our work.
Type de document :
[Research Report] RR-6426, INRIA. 2007, pp.24
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Contributeur : Elise Arnaud <>
Soumis le : vendredi 8 février 2008 - 11:32:40
Dernière modification le : jeudi 11 janvier 2018 - 06:21:59
Document(s) archivé(s) le : vendredi 25 novembre 2016 - 20:28:55


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  • HAL Id : inria-00194947, version 3


Nicolas Courty, Elise Arnaud. Sequential Monte Carlo Inverse Kinematics. [Research Report] RR-6426, INRIA. 2007, pp.24. 〈inria-00194947v3〉



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