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Face retrieval and validation

Research Area: Computer Vision
Status: In progress  
Faculty: Francesca Odone Participants: Giovanni Fusco

We explore the various problems related to the analysis of the presence of humans in images and image sequences.

Starting off from our face detection procedure [1], our current research mainly focuses on the two following applications:

  • Identity validation systems for access control, where we deal with the problem of validating identities (see Fig. 1) by means of supervised learning techniques;
Fig. 1: the comparison between a recognition (above) and verification (below) based application.

  • Real time face recognition for visually impaired people [2], in which we consider an unsupervised setting and exploit the combination of face matching techniques and identity verification (see Fig. 2) to achieve a recognition rate that competes with the one-vs-all classification but requires less computational resources. We also deal with the face recognition problem from a semi-supervised perspective, which is very appropriate since the set of user's everyday observations typically includes only a (relative small) subset of recognized faces -- i.e. labeled examples -- as opposed to an higher number of unlabeled data.
Fig. 2the pipeline of face recognition that combines face matching with identity verification.

Inspired by the specific requirements of the above-mentioned applications we try to exploit the availability of spatio-temporal information and study their applications in different learning frameworks.


Ongoing collaborations:

  • Imavis (R&D),
  • Istituto Chiossone (Usability, accessibility, testing for visually impaired users),
  • DICO Università di Milano (DBMS)



  1. Destrero, A. et al. "A Regularized Framework for Feature Selection in Face Detection and Authentication". IJCV (2009).
  2. Luigi, Balduzzi et al. "Low-cost face biometry for visually impaired users". 2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, 2010.