Result: Two dimensional laplacianfaces method for face recognition

Title:
Two dimensional laplacianfaces method for face recognition
Authors:
NIU BEN, SHIU, Simon Chi, SANKAR KUMAR PAL
Source:
Rough sets and current trends in computing (5th International conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006)Lecture notes in computer science. :852-861
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 11 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse composante principale, Principal component analysis, Análisis componente principal, Analyse régression, Regression analysis, Análisis regresión, Authentification, Authentication, Autenticación, Banque image, Image databank, Banco imagen, Faciès, Facies, Localité, Locality, Modèle autorégressif, Autoregressive model, Modelo autorregresivo, Projection image, Image projection, Proyección imagen, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Reconnaissance visage, Face recognition, Théorie ensemble approximatif, Rough set theory, Traitement image, Image processing, Procesamiento imagen
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computing, Hong Kong Polytechnic University, Hong-Kong
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19078923
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19078923
Database:
PASCAL Archive

Further Information

In this paper we propose the two dimensional Laplacianfaces method for face recognition. The new algorithm is developed based on the two techniques, i.e., locality preserved embedding and image based projection. The two dimensional Laplacianfaces method is not only computationally more efficient but also more accurate than the one dimensional Laplacianfaces method in extracting the facial features for human face authentication. Extensive experiments are performed to test and evaluate the new algorithm using the Yale and the AR face databases. The experimental results indicate that the two dimensional Laplacianfaces method significantly outperforms the existing two dimensional Eigenfaces, the two dimensional Fisherfaces and the one dimensional Laplacianfaces methods under the various settings of experiment conditions.