Fast binocular vision with filters
Yiming Nie, Tao Wu, Xiangjing An, Hangen He · 2008
Trough binocular vision the fast disparity image is often desired for many applications, but, most algorithms could not easily be application because of complexity. 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.