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Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00)
Face Recognition Based on Multiple Facial Features
Grenoble, France9
March 26-March 30
ISBN: 0-7695-0580-5
ASCII Text
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Rui Liao, Stan Z. Li, "Face Recognition Based on Multiple Facial Features," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 239, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000.
 
 
BibTex
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@article{ 10.1109/AFGR.2000.840641,
author = {Rui Liao and Stan Z. Li},
title = {Face Recognition Based on Multiple Facial Features},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0580-5},
pages = {239},
doi = {http://doi.ieeecomputersociety.org/10.1109/AFGR.2000.840641},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Face Recognition Based on Multiple Facial Features
SN - 0-7695-0580-5
SP
EP
A1 - Rui Liao,
A1 - Stan Z. Li,
PY - 2000
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
Rui Liao, Nanyang Technological University
Stan Z. Li, Nanyang Technological University
An automatic face recognition system based on multiple facial features is described in this paper. 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.
Citation:
Rui Liao, Stan Z. Li, "Face Recognition Based on Multiple Facial Features," fg, pp.239, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000
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