CUED Publications database

An automatic solution framework for robust and computationally efficient joint estimation in optical motion capture

Hang, J and Lasenby, J and Li, A (2016) An automatic solution framework for robust and computationally efficient joint estimation in optical motion capture. In: UNSPECIFIED pp. 1-6..

Full text not available from this repository.

Abstract

© 2015 IEEE. We propose an automatic and computationally efficient solution framework for addressing the joint estimation problem in marker-based optical motion capture. A fast joint estimator is presented which only requires an optimisation over 3 variables using marker-trajectory-bases (MTB). We also introduce the theory of solvability propagation to realise this automation. The framework acquires a 'hybrid' power making it able to deal with difficult cases where there are less than three markers on the body segments. It does this by combining the MTB-based and the joint-marker-variance optimisation methods. Computer simulations are used to examine the framework in terms of accuracy, speed and functionality. Results from these simulations show that the framework is robust and produces fast and accurate solutions.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:32
Last Modified: 03 Aug 2017 03:06
DOI: