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Computational Algorithms for Face Alignment and Recognition

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dc.contributor.authorBellino, Kathleen Annen
dc.contributor.committeechairHerdman, Terry L.en
dc.contributor.committeememberWisniewski, Helena S.en
dc.contributor.committeememberKing, Belinda B.en
dc.contributor.committeememberCliff, Eugene M.en
dc.contributor.committeememberBorggaard, Jeffrey T.en
dc.contributor.committeememberBurns, John A.en
dc.contributor.departmentMathematicsen
dc.date.accessioned2014-03-14T20:37:07Zen
dc.date.adate2002-08-12en
dc.date.available2014-03-14T20:37:07Zen
dc.date.issued2002-04-27en
dc.date.rdate2003-08-12en
dc.date.sdate2002-05-16en
dc.description.abstractReal-time face recognition has recently become available for the government and industry due to developments in face recognition algorithms, human head detection algorithms, and faster/low cost computers. Despite these advances, however, there are still some critical issues that affect the performance of real-time face recognition software. This paper addresses the problem of off-centered and out-of-pose faces in pictures, particularly in regard to the eigenface method for face recognition. We first demonstrate how the representation of faces by the eigenface method, and ultimately the performance of the software depend on the location of the eyes in the pictures. The eigenface method for face recognition is described: specifically, the creation of a face basis using the singular value decomposition, the reduction of dimension, and the unique representation of faces in the basis. Two different approaches for aligning the eyes in images are presented. The first considers the rotation of images using the orthogonal Procrustes Problem. The second approach looks at locating features in images using energy-minimizing active contours. We then conclude with a simple and fast algorithm for locating faces in images. Future research is also discussed.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05162002-162739en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05162002-162739/en
dc.identifier.urihttp://hdl.handle.net/10919/32847en
dc.publisherVirginia Techen
dc.relation.haspartetd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectreal-time face recognitionen
dc.subjectalignmenten
dc.subjectrotationen
dc.subjectactive contoursen
dc.titleComputational Algorithms for Face Alignment and Recognitionen
dc.typeThesisen
thesis.degree.disciplineMathematicsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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