| 214 | 214 | I have begun to implement disparity map fusion: starting from two disparity maps (obtained from the 3 images processed) I would like to obtain a single disparity map resulting from a clever fusion of the two previous maps. I thought to get the mean disparity value from the two maps for each (i,j) position if the difference between the two maps is under a threshold, otherwise, if the difference is higher, I get the value closest to the reference DSM used for the initial projection, moreover where there is a no data value I get the other disparity map result. |
