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HOGpicture.m
README.md
esvm_features.m
esvm_hog.m
esvm_pyramid.m
fconv.mexmaci64
fconvblas.cc
fconvblas.mexa64
fconvblas.mexmaci64
features_compile.m
features_pedro.cc
features_pedro.mexa64
features_pedro.mexmaci
features_pedro.mexmaci64
features_raw.cc
features_raw.mexa64
features_raw.mexmaci
features_raw.mexmaci64
resize.cc
resize.mexa64
resize.mexmaci
resize.mexmaci64

README.md

Here are the features used in the Exemplar-SVM framework.

Compile with features_compile.m script

** esvm_features.m: a Matlab function which calles one of the mexed functions. It returns the dimensionality of the per-cell features when called without arguments. The idea is that you can add your own features and 31 is never hard-coded in the codebase.

** features_pedro.cc: the 31-D features from voc-release-3.1

** features_raw.cc: the same features as features_pedro.cc but without the contrast normalization. They are definitely worse than when using normalization, but the effect has not been fully studied.

** fconvblas.cc: a fast convolution procedure from from voc-release-4

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