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.
Metadata
Release files for bob.ip.gabor 2.0.19
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Release files / bob.ip.gabor-2.0.19.zip
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