Is it a face ? How to find and validate a face on 3D scans

Przemyslaw Szeptycki 1 Mohsen Ardabilian 1 Liming Chen 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Rapid development of 3D scanning technologies lead researchers to use them for people recognition, cameras are faster, models are less noisy and with higher resolution. 3D facial models have been widely used for many biometrics applications. Nevertheless 3D face recognition topics mainly assume that scans contain a face and the face is mostly in frontal position. In real world we might have a situation, where a scanned model is not sufficient for recognition. In this article we propose a generic face model validation algorithm which can exclude non-face models from recognition query. The algorithm was tested on more than 1500 range scans including face and non-face models. Obtained results prove, that the generic model validation approach can be used to reject non-face models from the recognition pipeline.
Type de document :
Communication dans un congrès
COmpression et REprésentation des Signaux Audiovisuels, Oct 2010, Lyon, France. pp.1-6, 2010
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https://hal.archives-ouvertes.fr/hal-01381513
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : vendredi 14 octobre 2016 - 14:47:25
Dernière modification le : samedi 15 octobre 2016 - 01:05:31

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  • HAL Id : hal-01381513, version 1

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Przemyslaw Szeptycki, Mohsen Ardabilian, Liming Chen. Is it a face ? How to find and validate a face on 3D scans. COmpression et REprésentation des Signaux Audiovisuels, Oct 2010, Lyon, France. pp.1-6, 2010. <hal-01381513>

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