DocumentCode
863522
Title
On the Dimensionality of Face Space
Author
Meytlis, Marsha ; Sirovich, Lawrence
Author_Institution
Mount Sinai Sch. of Med., New York
Volume
29
Issue
7
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
1262
Lastpage
1267
Abstract
The dimensionality of face space is measured objectively in a psychophysical study. Within this framework, we obtain a measurement of the dimension for the human visual system. Using an eigenface basis, evidence is presented that talented human observers are able to identify familiar faces that lie in a space of roughly 100 dimensions and the average observer requires a space of between 100 and 200 dimensions. This is below most current estimates. It is further argued that these estimates give an upper bound for face space dimension and this might be lowered by better constructed "eigenfaces" and by talented observers.
Keywords
face recognition; image classification; statistical analysis; visual perception; eigenface; face classification; face recognition problem; face space dimensionality measure; familiar face identification; human visual system; talented human observers; Databases; Eigenvalues and eigenfunctions; Extraterrestrial measurements; Face detection; Face recognition; Humans; Image recognition; Psychology; Testing; Visual system; Face and gesture recognition; computational models of vision; psychology; singular value decomposition.; Algorithms; Artificial Intelligence; Biometry; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2007.1033
Filename
4204167
Link To Document