FABRIK: A fast, iterative solver for the Inverse Kinematics problem

By Andreas Aristidou, Joan Lasenby. Graphical Models, 2011

445 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ef4396be51f253ed986a1db18d4bffd5e5e4acb3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jiefeng Li
2. Siyuan Bian
3. Lixin Yang
4. Zhicun Chen
5. Cewu Lu
6. Chao Xu
7. Dacheng Tao
8. Luc Van Gool

In Control and Systems Engineering

1. Cewu Lu
2. Chao Xu

Citations in the corpus

• HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation (2020, methodology): “For example, CDC[30], FABRIK[3] and IK-FA[55] have a low computational cost for each heuristic iteration.”