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Adaptive Sparse Representations for recognition of faces and facial attributes


This algorithms has been tested on two different recognition problems:

  1. Recognition of facial attributes (like expressions, gender, etc.) and
  2. Face recognition. For the 1) and 2) tasks the reader is referred to our publications [1] and [2] respectively. It is the same code but with different parameters. For 1) run demo_eccv2014.m, for 2) run demo_wifs2014.m.


To run ASR+, following Matlab Toolboxes are required:


Please run:

  • demo_eccv2014.m for demo of paper presented at ECCV2004
  • demo_wifs2014.m for demo of paper presented at WIFS2004


Code written by: Domingo Mery, Universidad Catolica de Chile, 2014

Copyright 2014 by Group of Machine Intelligence (GRIMA), Department of Computer Science, Universidad Catolica - Chile, and Computer Vision Research Lab, Department of Computer Science and Engineering, University of Notre Dame, Indiana, USA.

All rights reserved. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.5 Generic License.

Permission to use, copy, or modify these programs and their documentation for educational and research purposes only and without fee is hereby granted, provided that this copyright notice appears on all copies and supporting documentation. For any other uses of this software, in original or modified form, including but not limited to distribution in whole or in part, specific prior permission must be obtained from Pontificia Universidad Catolica de Chile. These programs shall not be used, rewritten, or adapted as the basis of a commercial software or hardware product without first obtaining appropriate licenses from the Pontificia Universidad Catolica de Chile. Pontificia Universidad Catolica de Chile makes no representations about the suitability of this software for any purpose. It is provided "as is" without express or implied warranty.


Adaptive Sparse Representations for recognition of faces and facial attributes






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