bob.paper.CVPRW_2016 1.0.0b1

Heterogeneous Face Recognition using Inter-Session Variability Modelling

This package provides the source code to run the experiments published in the paper Heterogeneous Face Recognition using Inter-Session Variability Modelling.

If you use this package and/or its results, please cite the following publications:

1. The original paper with the counter-measure explained in details:

   @inproceedings{Pereira_CVPRW2016,
     author = {Pereira, Tiago de Freitas and Marcel, S{\'{e}}bastien},
     keywords = {Face Recognition, Session Variability Modelling, Heterogeneous Face Recognition},
     month = jun,
     year = {2016},
     title = {Heterogeneous Face Recognition using Inter-Session Variability Modelling},
     journal = {IEEE Computer Society Workshop on Biometrics - CVPRW 2016},
   }

2. Bob as the core framework used to run the experiments:

   @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},
   }

$ pip install bob.paper.CVPRW_2016

$ easy_install bob.paper.CVPRW_2016

$ python bootstrap.py
$ ./bin/buildout