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In order to overcome difficulties in a structured environment and make image correspondence more efficient in image correspondence, and to realize a more robust, precise and efficient correspondence results that are suitable for complex scenes, Hough spectrum characterization and image contour is presented in the discussion. It is a novel and robust approach and it proves the features of Hough spectrum: translation, rotation zoom, and cycle; based on Fourier domain phase related algorithm, an efficient and robust sampling Fourier image correspondence is proposed; at the same time, estimate method based on monocular vision of motion robot is proposed in terms of the application of image correspondence in the motion estimation and positioning system. The experimental results show that this method is able to estimate the motion parameters with high precision, and eventually works out a reliable estimation of robot trajectory.

DISCUSSION ON ROBOT EMBEDDED POSITIONING SYSTEM BASED ON IMAGE CORRESPONDENCE ALGORITHM