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menpo/docs/source/api/feature/index.rst

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:mod:`menpo.feature` Features Optional Features Predefined (Partial Features) Normalization Visualization References
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:mod:`menpo.feature`

Features

.. toctree::
  :maxdepth: 2

  no_op
  gradient
  gaussian_filter
  igo
  es
  daisy

Optional Features

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 Vlfeat [1] project. Currently, the wrapped features are all variants on the SIFT [2] algorithm.

.. toctree::
  :maxdepth: 2

  dsift
  fast_dsift
  vector_128_dsift
  hellinger_vector_128_dsift

Predefined (Partial Features)

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.

.. toctree::
  :maxdepth: 2

  double_igo

Normalization

The following functions perform some kind of normalization on an image.

.. toctree::
  :maxdepth: 2

  normalize
  normalize_norm
  normalize_std
  normalize_var

Visualization

.. toctree::
  :maxdepth: 2

  sum_channels

References

[1]Vedaldi, Andrea, and Brian Fulkerson. "VLFeat: An open and portable library of computer vision algorithms." Proceedings of the international conference on Multimedia. ACM, 2010.
[2]Lowe, David G. "Distinctive image features from scale-invariant keypoints." International journal of computer vision 60.2 (2004): 91-110.