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A study of methods that determine the rotation parameters of a camera moving through synthetic and real scenes is conducted. Algorithms that combine ideas of Jain and Prazdny, using hypothesizeand-verify paradigm, are developed to find translational and rotational parameters. An argument is made for using hypothesized motion parameters rather than relaxation labeling to find correspondence. Some work with real scenes shows the difficulties introduced by noise, the lack of resolution, and the need for better low-level techniques.