no_op gradient gaussian_filter igo es lbp hog daisy
The following features are optional and may or may not be available depending on whether the required packages that implement them are available. If conda was used to install menpo then it is highly likely that all the optional packages will be available.
Vlfeat: Features that have been wrapped from the Vlfeat1 project. Currently, the wrapped features are all variants on the SIFT2 algorithm.
dsift fast_dsift vector_128_dsift hellinger_vector_128_dsift
The following features are are built from the features listed above, but are partial functions. This implies that some sensible parameter choices have already been made that provides a unique set of properties.
double_igo sparse_hog
The following functions perform some kind of normalization on an image.
normalize normalize_norm normalize_std normalize_var
glyph sum_channels
features_selection_widget
Vedaldi, Andrea, and Brian Fulkerson. "VLFeat: An open and portable library of computer vision algorithms." Proceedings of the international conference on Multimedia. ACM, 2010.↩
Lowe, David G. "Distinctive image features from scale-invariant keypoints." International journal of computer vision 60.2 (2004): 91-110.↩