The default algorithm will optimize the point locations to minimize the
distance from any point in device space, to the nearest sample point. This is
called Optimized Farthest Point Sampling (OFPS) .
Q1:why will the algorithm choose the minimized location to the point not just
pick what it is (i mean the real value not the approximately one)
The -r flag overrides the default full spread test patch algorithm, and chooses
test points with an even random distribution in device space.
The -R flag overrides the default full spread test patch algorithm, and chooses
test points with an even random distribution in perceptual space.
Q2:what's the difference between device space and perceptual space,and where
will i use it to?please give an example.
The -q flag overrides the default full spread test patch algorithm, and chooses
test points with a quasi-random, space filling distribution in device space.
The -Q flag overrides the default full spread test patch algorithm, and chooses
test points with a quasi-random, space filling distribution in perceptual space.
Q3:what is quasi-random?
The -i flag overrides the default full spread test patch algorithm, and chooses
test points with body centered cubic distribution in device space.
The -I flag overrides the default full spread test patch algorithm, and chooses
test points with body centered cubic distribution in perceptual space.
Q4:what is body centered cubic distribution
The -a angle parameter sets the overall angle that the body centered grid
distribution has.
Q5:why should i set angle to what the body centered grid distribution has.
