Eigenfaces for Face Detection: A Novel Study
Salaheddin Alakkari, John James Collins · 2013
A study is presented on face detection using Principal Component Analysis as a paradigm for generating compact representation for the human face. The study will focus on the contribution of individual eigenfaces in the face-space for classification in order to extract a minimum encoding for very low resolution images. The fourth, sixth, and seventh eigenfaces are identified as being particularly critical for classification, with the lowest order eigenface having a significant discriminatory contribution.