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Davis King 2013-10-01 19:46:34 -04:00
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dlib/image_transforms/fhog_abstract.h
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@ -36,7 +36,7 @@ namespace dlib
P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010 IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, Sep. 2010
This means that it takes an input image img and outputs Felzenszwalb's This means that it takes an input image img and outputs Felzenszwalb's
version of the HOG features, which are stored into #hog. 31 dimensional version of HOG features, which are stored into #hog.
- The input image is broken into cells that are cell_size by cell_size pixels - The input image is broken into cells that are cell_size by cell_size pixels
and within each cell we compute a 31 dimensional FHOG vector. This vector and within each cell we compute a 31 dimensional FHOG vector. This vector
describes the gradient structure within the cell. describes the gradient structure within the cell.