Title :
A globally convergent numerical algorithm for computing the centre of mass on compact Lie groups
Author :
Manton, Jonathan H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Australia
Abstract :
Motivated by applications in fuzzy control, robotics and vision, this paper considers the problem of computing the centre of mass (precisely, the Karcher mean) of a set of points defined on a compact Lie group, such as the special orthogonal group consisting of all orthogonal matrices with unit determinant. An iterative algorithm, whose derivation is based on the geometry of the problem, is proposed. It is proved to be globally convergent. Interestingly, the proof starts by showing the algorithm is actually a Riemannian gradient descent algorithm with fixed step size.
Keywords :
Lie groups; computational geometry; convergence of numerical methods; iterative methods; matrix algebra; theorem proving; Karcher mean; Riemannian gradient descent algorithm; compact Lie group; fuzzy control; geometry; iterative algorithm; mass center; orthogonal matrices; robotics; special orthogonal group; step size; unit determinant; vision; Aging; Convergence; Fuzzy control; Geometry; Iterative algorithms; Noise measurement; Process control; Robots; Signal processing algorithms; Signal to noise ratio;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1469774