DocumentCode
1977266
Title
Face recognition based on multiple facial features
Author
Liao, Rui ; Li, Stan Z.
Author_Institution
Intelligent Machine Lab., Nanyang Technol. Univ., Singapore
fYear
2000
fDate
2000
Firstpage
239
Lastpage
244
Abstract
An automatic face recognition system based on multiple facial features is described. Each facial feature is represented by a Gabor-based complex vector and is localized by an automatic facial feature detection scheme. Two face recognition approaches, named two-layer nearest neighbor (TLNN) and modular nearest feature line (MNFL) respectively, are proposed. Both TLNN and MNFL are based on the multiple facial features detected for each image and their superiority in face recognition is demonstrated
Keywords
face recognition; feature extraction; filtering theory; vectors; Gabor-based complex vector; automatic face recognition; automatic facial feature detection; feature localization; modular nearest feature line; multiple facial features; two-layer nearest neighbor; Face detection; Face recognition; Facial features; Hair; Image recognition; Laboratories; Machine intelligence; Paper technology; Prototypes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on
Conference_Location
Grenoble
Print_ISBN
0-7695-0580-5
Type
conf
DOI
10.1109/AFGR.2000.840641
Filename
840641
Link To Document