RMS Distance to Reference

Posted: April 10, 2019 at 5:29 pm

I selected one composition (#569) from the training set as the reference and computed its distance (RMS) from all other samples in the training set (without neutral samples). The result is not unexpectedly that the good compositions are spread throughout the bad compositions (see below).

Also there seems to be no visual relationship between compositions with shorter RMS distances; #878 is not more similar to #569 than #981 is. This is confirmed by plotting the images themselves according to their RMS distance to the reference (in the upper left corner, filling rows first):

So it seems using these instructions as feature vectors may be a no go. The benefit of using these vectors was that the composition could be evaluated by the classifier without it actually getting rendered. I’ll next try the using colour histogram features and see if my results are any better.