We present a method to select an appropriate window by evaluating the local variation of the intensity and the disparity. We employ a statistical model of the disparity distribution within the window. This modeling enables us to assess how disparity \ariation, as well as intensity variation, within a window affects the uncertainty of disparity estimate at the center point of the window. As a result, we can devise a method which searches for a window that produces the estimate of disparity with the least uncertainty for each pixel of an image: the method controls not only the size but also the shape (rectangle) of the window.

a stereo matching algorithm with an adaptive window Theory an__ d Experiment.pdf
A Fast Area-Based Stereo Matching Algorithm.pdf

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