A GUI demonstrates an efficient stereo matching algorithm.

FAST MATLAB STEREO MATCHING ALGORITHM (SAD)
This function performs the computationally expensive step of matching two rectified and undistorted stereo images. The output is a dense disparity map. If camera parameters are known, this allows for three dimensional reconstruction.
Two graphical user interfaces demonstrate the algorithm.
Please note this function requires the Image Processing Toolbox!
[spdmap, dcost, pcost, wcost] = stereomatch(imgleft, imgright, windowsize, disparity, spacc)
The standard images included are from
[1] D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47(1/2/3):7-42, April-June 2002.
[2] D. Scharstein and R. Szeliski. High-accuracy stereo depth maps using structured light. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), volume 1, pages 195-202, Madison, WI, June 2003.
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