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From 3D faces to biometric identities

Cadoni, Marinella Iole and Lagorio, Andrea and Grosso, Enrico and Tistarelli, Massimo (2011) From 3D faces to biometric identities. In: 3rd European Workshop on Biometrics and Identity Management, 8-10 March 2011, Brandenburg, Germany. Berlin, Springer. p. 156-167. (Lecture Notes in Computer Science, 6583/2011). ISBN 978-364219529-7. Conference or Workshop Item.

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DOI: 10.1007/978-3-642-19530-3_15


The recognition of human faces, in presence of pose and illumination variations, is intrinsically an ill-posed problem. The direct measurement of the shape for the face surface is now a feasible solution to overcome this problem and make it well-posed. This paper proposes a completely automatic algorithm for face registration and matching. The algorithm is based on the extraction of stable 3D facial features characterizing the face and the subsequent construction of a signature manifold. The facial features are extracted by performing a continuous-to-discrete scale-space analysis. Registration is driven from the matching of triplets of feature points and the registration error is computed as shape matching score. A major advantage of the proposed method is that no data pre-processing is required. Therefore all presented results have been obtained exclusively from the raw data available from the 3D acquisition device. Despite of the high dimensionality of the data (sets of 3D points, possibly with the associate texture), the signature and hence the template generated is very small. Therefore, the management of the biometric data associated to the user data, not only is very robust to environmental changes, but it is also very compact. This reduces the required storage and processing resources required to perform the identification. The method has been tested against the Bosphorus 3D face database and the performances compared to the ICP baseline algorithm. Even in presence of noise in the data, the algorithm proved to be very robust and reported identification performances in line with the current state of the art.

Item Type:Conference or Workshop Item (Contribute)
ID Code:6888
Uncontrolled Keywords:Face authentication, 3D, geometric invariants
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Area 13 - Scienze economiche e statistiche > SECS-S/06 Metodi matematici dell'economia e delle scienze attuariali e finanziarie
Divisions:002 Altri enti e centri di ricerca del Nord Sardegna > Porto Conte Ricerche, Alghero
001 Università di Sassari > 01 Dipartimenti > Economia, impresa, regolamentazione
001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
Deposited On:16 Dec 2011 09:24

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