Gabor wavelet analysis tools for Bob
Project description
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 history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bob.ip.gabor-2.0.18.zip.
File metadata
- Download URL: bob.ip.gabor-2.0.18.zip
- Upload date:
- Size: 238.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.7.0 requests/2.25.0 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 24b42aa52d3597a6879e44cc19dcd409cdddc170b3b2604e49bf1bf7e26cbe68 |
|
| MD5 | a7b03cf297e1b5bcd6314c486e95ce27 |
|
| BLAKE2b-256 | ff9b1f3583b07c9050d1c305bebb8931e5ddf80b4a9bce4452dfd9c7c959850d |
