Recovery of motion and structure from optical flow under perspective projection by solving linear simultaneous equations
Determination of the three-dimensional motion and structure of an object from its optical flow is one of the most important problems in computer vision. Previous works in this field have been unsatisfactory because they require solving nonlinear simultaneous equations using iterative search. In the present paper, we propose a linear method for the recovery of motion and structure from perspectively projected optical flow of feature points which move rigidly. Furthermore, we propose a reliability measure of the recovery. Simulation results of our method are also presented.
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