Computes valid disparity ROI from the valid ROIs of the rectified images

r = cv.getValidDisparityROI(roi1, roi2)
r = cv.getValidDisparityROI(roi1, roi2, 'OptionName',optionValue, ...)

Input

• roi1, roi2 rectangles inside the rectified images where all the the pixels are valid [x,y,w,h] (as returned by cv.stereoRectify).

Output

• r computed rectangle inside the disparity of valid ROI [x,y,w,h].

Options

• MinDisparity Minimum possible disparity value. Normally, it is zero but sometimes rectification algorithms can shift images, so this parameter needs to be adjusted accordingly. default 0
• NumDisparities Maximum disparity minus minimum disparity. The value is always greater than zero. default 64
• BlockSize the linear size of the matched block size. The size should be odd (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is is higher chance for algorithm to find a wrong correspondence. default 21.