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Face retrieval and validation

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

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)

Multimedia


References

  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.