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USERNAME NAME # VERSIONS DESCRIPTION UPLOAD DATE
FrancoisFleuret zk 1 Each dimension is the number of edges in a certain direction (quantified in 8) in a certain subwindow around the point of interest. July 13, 2009, 4:49 p.m.
FrancoisFleuret average 1   Oct. 2, 2009, 8:08 a.m.
ftarsett lbp 1 This heuristics computes a Local Binary Pattern (LBP) July 10, 2009, 6:47 p.m.
Kanma blobs 1 Produces a 'blobbed' version of the (RGB) region of interest. The computation of the blobs is done by segmenting the RGB space in 512 discrete values (each channel range is segmented in 8). July 13, 2009, 3:31 p.m.
Kanma closerpixel 1 This heuristic looks at 9x9 blocks of grayscale pixels and returns the index of the one which is the closer (intensity-wise) of the center one. July 13, 2009, 3:32 p.m.
Kanma fartherpixel 1 This heuristic looks at 9x9 blocks of grayscale pixels and returns the index of the one which is the farther (intensity-wise) of the center one. July 13, 2009, 3:33 p.m.
Kanma grayscalehistogram 1 This heuristic computes the histogram of the region of interest, in grayscale format July 13, 2009, 3:33 p.m.
Kanma rgbhistogram 1 This heuristic computes the histogram of the region of interest, in RGB format. The RGB color-space is segmented in 512 parts (8 per channel). July 13, 2009, 3:34 p.m.
MASH identity 1 This heuristic is part of the MASH SDK Sept. 3, 2009, 1:32 p.m.
MASH meanthreshold 1 This heuristic is part of the MASH SDK Sept. 3, 2009, 1:33 p.m.