Abstract
In visual servo control of a robot we often encounter the structure from motion problem. To study the structure from motion problem we are led to finding a minimum of a real valued function defined on a product Riemannian manifold, e.g. special orthogonal groups and unit sphere. To take advantage of its Riemannian structure we consider the Newton algorithm on this manifold. In particular, we focus on improving the algorithm to be more robust and faster than the existing Newton algorithm on Riemannian manifolds. For this we exploit the sparseness of the Hessian matrix and suggest how to choose the step size during the optimisation procedure, which can be considered as extensions of those for vector space optimisation algorithms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IEE Proceedings - Vision, Image, and Signal Processing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.