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Flandmark keypoint localization library

Project description

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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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