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The aim of this work is to develop a new algorithm for matching stereo images to the 3D reconstruction. We propose the use of a proximity criterion, to improve performance, and applying of the second chance algorithm. The similarity measures used are mutual information and correlation coefficient. The matching is done between neighborhoods of points of interest extracted from the images. We work in case which the sensor has a slight displacement between two images. The tests are performed on grayscale images.