Description: 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.
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File list (Check if you may need any files):
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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