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AN ALGORITHM OF GRID POINT DETERMINATION IN IMAGES FOR STEREO VISION SYSTEM

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An algorithm of grid point determination at calibration pattern images for stereo vision system calibration is presented. The proposed approach is based on analysis of the shape of characteristic points on the template and their spatial location. Testing results demonstrate a robust detection of the calibration pattern in image noise conditions under pattern rotation relative to the camera within a wide angle (up to 45 degrees). The developed algorithm is shown to provide an accuracy of up to 1.2 pixels in determined coordinates of the calibration pattern points.

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