An Illumination Invariant Face Recognition Algorithm

Leonidou, M; Tsapatsoulis, N; Kollias, S

dc.contributor.author	Leonidou, M	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:39Z
dc.date.available	2014-03-01T02:48:39Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33991
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-1642377295&partnerID=40&md5=12561ac79350774e54cee782a415069f	en
dc.subject.other	Algorithms	en
dc.subject.other	Approximation theory	en
dc.subject.other	Content based retrieval	en
dc.subject.other	Cosine transforms	en
dc.subject.other	Database systems	en
dc.subject.other	Eigenvalues and eigenfunctions	en
dc.subject.other	Image reconstruction	en
dc.subject.other	Matrix algebra	en
dc.subject.other	Robustness (control systems)	en
dc.subject.other	Vectors	en
dc.subject.other	Identification algorithms	en
dc.subject.other	Singular value decomposition (SVD)	en
dc.subject.other	Face recognition	en
dc.title	An Illumination Invariant Face Recognition Algorithm	en
heal.type	conferenceItem	en
heal.publicationDate	1998	en
heal.abstract	A face recognition technique, introducing an identification algorithm able to preserve facial content information independently of illumination variations, is proposed in this paper. Content information of images, stored in the face database, is kept by retaining their singular vectors while their illumination conditions are adapted according to the luminance information of the face image to be identified, provided by its singular values. To make the algorithm suitable for real time applications a fast presorting of the database is executed based on a similarity measure of block DCT coefficients. Experimental results depict the efficiency of the proposed method, showing not only a remarkable increase in the recognition rates, but also an improvement of the robustness of identification.	en
heal.journalName	Proceedings of the Joint Conference on Information Sciences	en
dc.identifier.volume	4	en
dc.identifier.spage	299	en
dc.identifier.epage	302	en