superGMM results

Here is the result for superGMM

feature vector to test

patch of 5 x 5 pixels

F1 = (gRGB, sLuv, gsLab, sX, sY) --> 11D

F2 = (gRGB, sLuv, gsLab, sX, sY, Texton) --> 53D!

F3 = (gRGB, sLuv, gsLab) --> 9D

PCA10_F1: 10-component PCA of [ 10-bin histogram of F1 + average F1 + median F1]

PCA10_F2: 10-component PCA of [ 10-bin histogram of F2 + average F2 + median F2]

single_F3: single point of F3 + sX, sY

avg_F3: average F3 + sX, sY

3binHist_F3: 3-bin histogram of F3 + sX, sY

The best PRI score with the best scale parameters

* We use only C from 5-8 and S from 60, 80 and 200 to test the performance.

med_F3: median F3 + sX, sY

avg_<each of F3>: average for (each of F3) + sX, sY

med_<each of F3>: median for (each of F3) + sX, sY

PCA10_10binHist_<each of F3>: 3-bin histogram of (each of F3) + sX, sY