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Face identification by SIFT-based complete graph topology

Kisku, Dakshina Ranjan and Rattani, Ajita and Grosso, Enrico and Tistarelli, Massimo (2007) Face identification by SIFT-based complete graph topology. In: 2007 IEEE Workshop on Automatic Identification Advanced Technologies: proceedings, 7-8 June 2007, Alghero, Italy. Piscataway, IEEE. p. 63-68. ISBN 1-4244-1300-1. Conference or Workshop Item.

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DOI: 10.1109/AUTOID.2007.380594


This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully used for general object detection and recognition, only recently they were applied to face recognition. This paper further investigates the performance of identification techniques based on Graph matching topology drawn on SIFT features which are invariant to rotation, scaling and translation. Face projections on images, represented by a graph, can be matched onto new images by maximizing a similarity function taking into account spatial distortions and the similarities of the local features. Two graph based matching techniques have been investigated to deal with false pair assignment and reducing the number of features to find the optimal feature set between database and query face SIFT features. The experimental results, performed on the BANCA database, demonstrate the effectiveness of the proposed system for automatic face identification.

Item Type:Conference or Workshop Item (Paper)
ID Code:322
Uncontrolled Keywords:Face Recognition, identification, SIFT features, biometrics, graph matching
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
Publisher Policy:Depositato in conformità con la politica di copyright dell'Editore
Deposited On:18 Aug 2009 10:02

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