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Face recognition by local and global analysis

Tistarelli, Massimo and Lagorio, Andrea and Grosso, Enrico (2009) Face recognition by local and global analysis. In: Image and Signal Processing and Analysis, 2009: ISPA 2009: proceedings of 6th International Symposium, 16-18 September 2009, Salzburg (Austria). Piscataway, IEEE. p. 690-694. ISBN 978-953-184-135-1. Conference or Workshop Item.

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Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability and they do not have the same relevance for recognition. Therefore, selecting and decoupling the information from independent areas of the face is of paramount importance to improve the robustness of any face recognition technique. In forensic applications it is rather important to identify an individual by peculiar, subjective features, which uniquely characterize his/her face. This paper discusses how to select relevant local features on the face and use these features to uniquely identify a subject. For identification purposes, both a global and local (as recognition from parts) matching strategy is proposed. The local strategy is based on matching individual salient facial SIFT features as connected to selected facial landmarks. As for the global matching strategy, relevant SIFT features are combined together to form a single feature.

Item Type:Conference or Workshop Item (Contribute)
ID Code:3573
Uncontrolled Keywords:Face recognition, image classification, image matching, image representation, image resolution, probability
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Divisions:001 Università di Sassari > 01 Dipartimenti > Economia, impresa, regolamentazione
001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
001 Università di Sassari > 02 Centri > Computer Vision Laboratory
Publisher Policy:Depositato in conformità con la politica di copyright dell'Editore
Deposited On:26 Feb 2010 09:51

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