TY - GEN
T1 - Two dimensional Laplacianfaces method for face recognition
AU - Ben, Niu
AU - Shiu, Chi Keung Simon
AU - Pal, Sankar Kumar
PY - 2006/1/1
Y1 - 2006/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33845243377&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
SN - 3540476938
SN - 9783540476931
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 852
EP - 861
BT - Rough Sets and Current Trends in Computing - 5th International Conference, RSCTC 2006, Proceedings
PB - Springer Verlag
T2 - 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006
Y2 - 6 November 2006 through 8 November 2006
ER -