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Evaluating the performance of iPhoto facial recognition at the biometric verification task

dc.contributor.authorPatmore, Keegan P., author
dc.contributor.authorBeveridge, Ross, advisor
dc.contributor.authorDraper, Bruce, committee member
dc.contributor.authorGivens, Geoff, committee member
dc.date.accessioned2007-01-03T08:06:08Z
dc.date.available2007-01-03T08:06:08Z
dc.date.issued2012
dc.description.abstractThe Faces feature of Apple's iPhoto '09 software uses facial recognition techniques to help people organize their digital photographs. This work seeks to measure the facial recognition performance of iPhoto Faces in order to gain insight into the progress of facial recognition systems in commercial software. A common performance evaluation protocol is explained and performance values are presented. The protocol is based on performance measurements of academic and biometric facial recognition systems performed at the National Institute of Standards and Technology. It uses the data set developed for the Good, the Bad, & the Ugly Face Recognition Challenge Problem which contains images with varying levels of facial recognition difficulty. Results show high performance on the hardest faces to recognize, less than peak performance on the easier faces, and overall less variation in performance across varying levels of difficulty than is observed for alternative baseline algorithms.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierPatmore_colostate_0053N_11101.pdf
dc.identifierETDF2012500080COMS
dc.identifier.urihttp://hdl.handle.net/10217/65350
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectbiometric
dc.subjectfacial recognition
dc.subjectcomputer vision
dc.titleEvaluating the performance of iPhoto facial recognition at the biometric verification task
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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