Abstract

The problem of detecting curves and target trajectories in 3-D space is examined. Techniques based on the Hough transform and a 3-D extension of it are presented. The effectiveness of the techniques for the detection of circles and circular missile trajectories given two arbitrary 2-D views (or given sequences of one range image of point target trajectories) is illustrated. Simulation results indicate that performance is excellent, even in the presence of gaps in the input data.

© 1989 Optical Society of America

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