We have discussed different scoring functions for measuring how well two patches of pixels match each other. Three of these functions were sum of squared differences $($SSD$),$ correlation, and normalized correlation. Let two intensity patches f and g be: A$.$ Compute the raw correlation score Cfg between patches f and g$.$ B$.$ Compute the SSD score between patches f and g$.$ C$.$ Let NCC be the value of the normalized correlation score computed between patches f and g$.$ Circle the equation below that best describes the value of NCC$.$ Note that these are mutually exclusive ranges, so only choose one. NCC $=-1-1<$ NCC $<0$ NCC $=00<$ NCC $<1$ NCC $=1$ D$.$ Is f a separable filter? $($i$.$e$.$ can we write f $=$ conv$2($r$,$c$),$ the convolution of a row filter r and a column filter c$).$ Choose the correct answer. YES NO E$.$ Is g a separable filter? $($i$.$e$.$ can we write g $=$ conv$2($r$,$c$),$ the convolution of a row filter r and a column filter c$).$ Choose the correct answer. YES NO