3D Head Pose Estimation Using Non-rigid Structure-from-motion and Point Correspondence

Abstract

This paper proposes and adaptive control suitable for motion control of multi-link robot manipulators with structured and unstructured incertainties. In order to design an adaptive robust controller, with the ability to compensate these incertainties, we used neural networks (NN) that have the capability to approximate any nonlinear function over a compact space.