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dc.contributor.authorQatawneh, S.*
dc.contributor.authorIpson, Stanley S.*
dc.contributor.authorQahwaji, Rami S.R.*
dc.contributor.authorUgail, Hassan*
dc.date.accessioned2009-02-26T10:24:47Z
dc.date.available2009-02-26T10:24:47Z
dc.date.issued2008
dc.identifier.citationQatawneh, S., Ipson, S., Qahwaji, R. S. R. and Ugail, H. (2008). 3D face recognition based on machine learning. In: Villanueva, J.J. (ed.) Proceedings of the Eighth IASTED International Conference on Visualization, Imaging and Image Processing (VIIP 2008) September 1-3, 2008, Palma de Mallorca, Spain. Calgary: Acta Press. pp. 362-366.en
dc.identifier.urihttp://hdl.handle.net/10454/2433
dc.description.abstract3D facial data has a great potential for overcoming the problems of illumination and pose variation in face recognition. In this paper, we present a 3D facial system based on the machine learning. We used landmarks for feature extraction and Cascade Correlation neural network to make the final decision. Experiments are presented using 3D face images from the Face Recognition Grand Challenge database version 2.0. For CCNN using Jack-knife evaluation, an accuracy of 100% has been achieved for 7 faces with different expression, with 100% for both of specificity and sensitivity.en
dc.language.isoenen
dc.relation.isreferencedbyhttp://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=494#pagesen
dc.rights© 2008 IASTED and ACTA Press. Reproduced in accordance with the publisher's self-archiving policyen
dc.subject3D face recognitionen
dc.subjectCCNNen
dc.subjectABS imagesen
dc.subjectFeature extractionen
dc.subjectMachine learningen
dc.title3D face recognition based on machine learningen
dc.status.refereedYesen
Test.contributor.author34000en
dc.typeConference paperen
dc.type.versionAccepted Manuscripten
refterms.dateFOA2018-07-18T02:09:49Z


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