This software, called PLS Face Identification (PFI), implements the one-against-all face identification method proposed in  and  (the second is an extension of the first by adding new feature descriptors). This software allows researchers to compare face identification methods to our method using datasets other than those considered in our papers.
To facilitate its usage, we provide a small data set (a subset of the FERET dataset), inside the directory SampleData in the software package. Upon request (e-mail to email@example.com), we will make available the cropped samples and partition files used during our experimental validation in  and  using the FERET and FRGC datasets. Note: the feature descriptors that will be extracted for the FERET example provided are different from those used in the papers. Please, contact us to obtain the feature configuration used in our papers.
This implementation has been used as part of the papers written by Schwartz et al.  and . We kindly ask you to cite these references upon the use of this software. Please refer to the following bibtex entries.
 (2012): Face identification using large feature sets. In: Image Processing, IEEE Transactions on, 21 (4), pp. 2245–2255, 2012.
 (2010): A Robust and Scalable Approach to Face Identification. In: European Conference on Computer Vision,pp. 476-489, 2010.
Information regarding the usage of the software can be found in its manual [pdf]. This software also provides an execution example inside the zip file.
You should cite the following article if you use this software in your work.
|Assigning Relative Importance to Scene Elements. In: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017.:|