%0 Journal Article %A Yiming Nie and Tao Wu and Xiangjing An and Hangen He %D 2008 %J International Journal of Mechanical and Mechatronics Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 17, 2008 %T Fast Depth Estimation with Filters %U https://publications.waset.org/pdf/7577 %V 17 %X Fast depth estimation from binocular vision is often desired for autonomous vehicles, but, most algorithms could not easily be put into practice because of the much time cost. We present an image-processing technique that can fast estimate depth image from binocular vision images. By finding out the lines which present the best matched area in the disparity space image, the depth can be estimated. When detecting these lines, an edge-emphasizing filter is used. The final depth estimation will be presented after the smooth filter. Our method is a compromise between local methods and global optimization. %P 579 - 582