Title :
Face recognition based on multiple facial features
Author :
Liao, Rui ; Li, Stan Z.
Author_Institution :
Intelligent Machine Lab., Nanyang Technol. Univ., Singapore
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;
Conference_Titel :
Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on
Conference_Location :
Grenoble
Print_ISBN :
0-7695-0580-5
DOI :
10.1109/AFGR.2000.840641
