Dissertation/Thesis Abstract

Evaluating the performance of iPhoto facial recognition at the biometric verification task
by Patmore, Keegan P., M.S., Colorado State University, 2012, 28; 1511042
Abstract (Summary)

The 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.

Indexing (document details)
Advisor: Beveridge, Ross
Commitee: Draper, Bruce, Givens, Geof
School: Colorado State University
Department: Computer Science
School Location: United States -- Colorado
Source: MAI 50/06M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords: Biometrics, Computer vision, Facial recognition
Publication Number: 1511042
ISBN: 9781267362445
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