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
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