Date of Award
Master of Arts (AM/MA)
Facial recognition techniques have become increasingly popular in recent decades. This thesis investigates the performance of several methods applied to two different face databases, under a variety of poses and illumination settings. PCA, LDA and KNN are compared and contrasted in terms of their accuracy and processing time.
Chair and Committee
Todd Kuffner Department of Mathematics
Jimin Ding, Mladen Victor Wickerhauser
Jia, Mengyi, "Statistical Learning Methods for Facial Recognition" (2017). Arts & Sciences Electronic Theses and Dissertations. 1072.
Permanent URL: https://doi.org/10.7936/K7C53J95