Issue No. 11 - November (1989 vol. 11)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.42863
<p>The authors describe a numerical procedure for solving problems involving minimization over the rotation group of quadratic forms which arise in connection with problems of computer vision. The algorithm presented is a sequential quadratic programming method which takes advantage of the special structure of the problem constraints. It is demonstrate that the method is globally convergent.</p>
minimisation; convergence; globally convergent algorithm; rotation group; quadratic forms; computer vision; sequential quadratic programming; minimisation; quadratic programming
C. Gurwitz and M. Overton, "A Globally Convergent Algorithm for Minimizing Over the Rotation Group of Quadratic Forms," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 11, no. , pp. 1228-1232, 1989.