For fast image processing this scr ipt extracts all the parameters for stereo image rectification in order to get the largest rectangular image pairs with only valid pixel values. The parameters are sorted in the way images are read in (First pixels of first row, then pixels of 2nd row etc.). Furthermore the precision for the bilinear transformation can be reduced to 8, 16, 32 or nearest neighbor in order to save calculation efforts. The effect of precision reduction are evaluated with Double_versus_uint.m .



Requirements:

This scr ipt works only in conjunction with the Camera Calibration Toolbox for Matlab from Jean-Yves Bouguet:

http://www.vision.caltech.edu/bouguetj/calib_doc/

Also required is the modified file FindLargestRectanglesPUS.m (original from Jaroslaw Tuszynski, see

http://www.mathworks.com/matlabcentral/fileexchange/28155-inscribed-rectangle/content/FindLargestRectangles.m)

This files is included in this package. -　For fast image processing this scr ipt extracts all the parameters for stereo image rectification in order to get the largest rectangular image pairs with only valid pixel values. The parameters are sorted in the way images are read in (First pixels of first row, then pixels of 2nd row etc.). Furthermore the precision for the bilinear transformation can be reduced to 8, 16, 32 or nearest neighbor in order to save calculation efforts. The effect of precision reduction are evaluated with　Double_versus_uint.m .



Requirements:

　　 This scr ipt works only in conjunction with the　Camera Calibration Toolbox for Matlab　from Jean-Yves Bouguet:

　　 http://www.vision.caltech.edu/bouguetj/calib_doc/

Also required is the modified file　FindLargestRectanglesPUS.m　(original from Jaroslaw Tuszynski, see

http://www.mathworks.com/matlabcentral/fileexchange/28155-inscribed-rectangle/content/FindLargestRectangles.m)

This files is included in this package.