Patmore, Keegan P., authorBeveridge, Ross, advisorDraper, Bruce, committee memberGivens, Geoff, committee member2007-01-032007-01-032012http://hdl.handle.net/10217/65350The 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.born digitalmasters thesesengCopyright 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.biometricfacial recognitioncomputer visionText