Study of matching algorithms of a pairs of color stereo images

The matching of a pairs of stereo images is very important for auto stereo reconstruction and stereo measurement. In this article, a group of fast grey cross-correlation calculation formula is deduced to solve the mass consuming time calculation in process of stereo images matching. And the maximal parallax scope of a pairs of stereo images is used to reduce the search region of matching calculation. At the same time, this two color images are split into three monochromatic images (R, G, B), respectively. And then each monochromatic image is matched respectively. In addition, the colour weight coefficient is adopted to eliminate ambiguity. The experiment results show that the algorithm can reduce the amount of calculation to accelerate the matching calculation speed and the accuracy of image matching is increased. Therefore, the algorithm has well real-time performance and robustness.