PLS Face Identification

PLS Face Identification

This software, called PLS Face Identification (PFI), implements the one-against-all face identification method proposed in [1] and [2] (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 william [at] dcc.ufmg.br), we will make available the cropped samples and partition files used during our experimental validation in [1] and [2] 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 me to obtain the feature configuration used in our papers.

This implementation has been used as part of the papers written by Schwartz et al. [1] and [2]. We kindly ask you to cite these references upon the use of this software. Please refer to the following bibtex entries.

[1]
Robson, Schwartz, William; Huimin, Guo,; Jonghyun, Choi,; S, Davis, Larry (2012): Face identification using large feature sets. In: Image Processing, IEEE Transactions on, 21 (4), pp. 2245–2255, 2012.
[2]
Schwartz, W. R.; Guo, H.; Davis, L. S. (2010): A Robust and Scalable Approach to Face Identification. In: European Conference on Computer Vision, pp. 476-489, 2010.

Documentation

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.

Download

PFI version 0.0.1 is available only for windows. The zip file provides contains the executable and required libraries, the documentation and sample data to perform a small execution using samples from the FERET dataset.

filename size OS
PFI_0.0.1.zip 4,043KB

windows (32-bits)

PFI_0.0.1_64bits.zip 5,502KB windows (64-bits)