This package is 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},
}
You should also cite Bob, as a core framework, in which these bindings are based on:
@inproceedings{Anjos_ACMMM_2012,
author = {A. Anjos AND L. El Shafey AND R. Wallace AND M. G\"unther AND C. McCool AND S. Marcel},
title = {Bob: a free signal processing and machine learning toolbox for researchers},
year = {2012},
month = oct,
booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan},
publisher = {ACM Press},
url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},
}