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Tools for Gabor Wavelets, Transform, Jet Extraction and Similarity

This package is part of the signal-processing and machine learning toolbox Bob. It contains a set of C++ code and Python bindings for Bob’s Image Processing tools concerning Gabor wavelets, the Gabor wavelet transform, Gabor jet extraction in a grid graph structure and Gabor jet similarity functions including a Gabor jet disparity estimation.

If you use parts of this code in a scientific publication, please cite:

@inproceedings{guenther2012disparity,
  title = {Face Recognition with Disparity Corrected {G}abor Phase Differences},
  author = {G{\"{u}}nther, Manuel and Haufe, Dennis and W{\"{u}}rtz, Rolf P.},
  editor = {Villa, Alessandro E. P. and Duch, W{\l}odzis{\l}aw and {\'{E}}rdi, P{\'{e}}ter and Masulli, Francesco and Palm, G{\"{u}}nther},
  booktitle = {Artificial Neural Networks and Machine Learning},
  series = {Lecture Notes in Computer Science},
  volume = {7552},
  year = {2012},
  month = sep,
  pages = {411-418},
  publisher = {Springer},
  pdf = {http://publications.idiap.ch/downloads/papers/2012/Gunther_ICANN2012_2012.pdf}
}

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.ip.gabor

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Release files for bob.ip.gabor 2.0.19

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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