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A globally convergent algorithm for minimizing over the rotation group of quadratic forms

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2 Author(s)
C. Gurwitz ; Dept. of Comput. & Inf. Sci., Brooklyn Coll., NY, USA ; M. L. Overton

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

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:11 ,  Issue: 11 )