Flandmark keypoint localization library
Project description
Flandmark keypoint localization library
This package is part of the signal-processing and machine learning toolbox Bob. It contains a simple Python wrapper to the (rather quick) open-source facial landmark detector Flandmark, version 1.0.7 (or the github state as of 10/february/2013). If you use this package, the author asks you to cite the following paper:
@inproceedings{Uricar-Franc-Hlavac-VISAPP-2012,
author = {U\v{r}i\v{c}\'a\v{r}, Michal and Franc, Vojt\v{e}ch and Hlav\'a\v{c}, V\'{a}clav},
title = {Detector of Facial Landmarks Learned by the Structured Output {SVM}},
year = {2012},
pages = {547-556},
booktitle = {VISAPP '12: Proceedings of the 7th International Conference on Computer Vision Theory and Applications},
editor = {Csurka, Gabriela and Braz, Jos{\'{e}}},
publisher = {SciTePress --- Science and Technology Publications},
address = {Portugal},
volume = {1},
isbn = {978-989-8565-03-7},
book_pages = {747},
month = {February},
day = {24-26},
venue = {Rome, Italy},
keywords = {Facial Landmark Detection, Structured Output Classification, Support Vector Machines, Deformable Part Models},
prestige = {important},
authorship = {50-40-10},
status = {published},
project = {FP7-ICT-247525 HUMAVIPS, PERG04-GA-2008-239455 SEMISOL, Czech Ministry of Education project 1M0567},
www = {http://www.visapp.visigrapp.org},
}
Installation
Follow our installation instructions. Then, using the Python interpreter provided by the distribution, bootstrap and buildout this package:
$ python bootstrap-buildout.py $ ./bin/buildout
Contact
For questions or reporting issues to this software package, contact our development mailing list.
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