Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
An inverse kinematics architecture enforcing an arbitrary number of strict priority levels
The Visual Computer: International Journal of Computer Graphics - Special section on implicit surfaces
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
A physically-based motion retargeting filter
ACM Transactions on Graphics (TOG)
Interactive motion deformation with prioritized constraints
Graphical Models - Special issue on SCA 2004
Constraint-based motion optimization using a statistical dynamic model
ACM SIGGRAPH 2007 papers
Interactive low-dimensional human motion synthesis by combining motion models and PIK
Computer Animation and Virtual Worlds - CASA 2007
Fast mixing hyperdynamic sampling
Image and Vision Computing
Natural motion animation through constraining and deconstraining at will
IEEE Transactions on Visualization and Computer Graphics
Monocular human pose tracking using multi frame part dynamics
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Predicting Articulated Human Motion from Spatial Processes
International Journal of Computer Vision
FABRIK: A fast, iterative solver for the Inverse Kinematics problem
Graphical Models
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In this paper we propose an original approach to solve the Inverse Kinematics problem. Our framework is based on Sequential Monte Carlo Methods and has the advantage to avoid the classical pitfalls of numerical inversion methods since only direct calculations are required. The resulting algorithm accepts arbitrary constraints and exhibits linear complexity with respect to the number of degrees of freedom. Hence, the proposed system is far more efficient for articulated figures with a high number of degrees of freedom.