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NAME RANK # VERSIONS DESCRIPTION UPLOAD DATE
hough/3 19 1 Computes the linear Hough transform of the region of interest to detect lines. April 20, 2010, 12:35 p.m.
fourier/4 33 2 Fourier transform heuristic. Computes the 2D FFT of the region of interest to convert it to the frequency domain. March 14, 2011, 4 p.m.
haar 35 1 Haar transform heuristic. Computes the 2D haar transform of the region of interest (all levels). April 20, 2010, 8:18 p.m.
identity 29 1 Same as the mash/identity heuristic except that it returns RGB values instead of grayscale. April 20, 2010, 8:24 p.m.
hog/6 2 2 Histogram of oriented gradients (orientation discretized in 12 bins) taken at random positions and scales. Strongly inspired from francoisfleuret/zk_v2. Sept. 28, 2010, 12:49 p.m.
hog_daisy/2 11 1   Nov. 15, 2011, 10:47 a.m.
segmentation2 45 1 Segment the gray-scale image pixels into 2 categories, the ones above the average intensity, and the ones below. Sept. 26, 2010, 11:57 p.m.
segmentation8 42 1 Segment the gray-scale image intensities into 8 bins with equal number of pixels in each. Returns the index of the bins in which a new pixel falls. Sept. 27, 2010, 10:29 a.m.
hogblurred/4 3 1 Strongly blurred gradient magnitude images for 8 different gradient orientations (also rescales the image to 25% to save on features). Sept. 28, 2010, 12:48 p.m.
mb_ilbp/4 8 2 Pyramid of histograms of multi-block improved local binary patterns. Inspired from ftarsett/ilbp and created with the help of Cosmin Atanasoei. May 3, 2011, 7:32 p.m.
patches/3 12 2 Histogram of the (maximum and minimum) correlation with a dictionary of patches. June 30, 2011, 3:21 p.m.
v1plus 6 1   June 15, 2011, 12:30 a.m.
hog_felzenszwalb/23 5 6 Histogram of oriented gradients, as described in the paper 'Object Detection with Discriminatively Trained Part Based Models' by Felzenszwalb et al. Jan. 6, 2012, 2:42 p.m.
viola_jones/4 20 2 The rectangle features used by Viola and Jones in their famous IJCV paper "Robust Real-time Object Detection". July 6, 2011, 11:15 a.m.