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stereo matching, census based

Hi I'm currently having trouble to understand a part in this paper :

(hxtps://pdfs.semanticscholar.org/a11e/deab7232649cd7e16fe23cb17830bfcf121e.pdf)

My Problem is the part after the subpixel calculation on page 17. I don't understand it how to get the subpixel disparity map for both directions. Also I'm a little bit confused if my cost aggregation is correct. It's recommended to use a 5x5 windows and sum the values over this block. Do I sum all values in this 5x5 block or do I add every second in every second row, like I did for the census transformation? Thanks for the help!

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updated 2017-03-09 11:01:22 -0600

berak gravatar image

stereo matching, census based

Hi I'm currently having trouble to understand a part in this paper paper :

(hxtps://pdfs.semanticscholar.org/a11e/deab7232649cd7e16fe23cb17830bfcf121e.pdf)

My Problem is the part after the subpixel calculation on page 17. I don't understand it how to get the subpixel disparity map for both directions. Also I'm a little bit confused if my cost aggregation is correct. It's recommended to use a 5x5 windows and sum the values over this block. Do I sum all values in this 5x5 block or do I add every second in every second row, like I did for the census transformation? Thanks for the help!