One improvement to two-dimensional locality preserving projection method for use with face recognition

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 245-249

  Xu, Yong ^a   Feng, Ge ^a   Zhao, Yingnan ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Dimension reduction; Face recognition; Feature extraction; Locality preserving projection; Two dimensional locality preserving projection

Indexed keywords

CLASS LABELS; CLASSIFICATION RESULTS; DIMENSION REDUCTION; DIMENSIONALITY REDUCTION METHOD; FACE DATABASE; LOCALITY PRESERVING PROJECTION; LOCALITY PRESERVING PROJECTIONS; TRAINING SAMPLE; TWO-DIMENSIONAL LOCALITY PRESERVING PROJECTION; VECTOR DATA;

FEATURE EXTRACTION; LABELS; TWO DIMENSIONAL;

FACE RECOGNITION;

ARTICLE; CLASSIFICATION; CLASSIFIER; CONTROLLED STUDY; DATA BASE; FACE; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; RECOGNITION; SAMPLING; TWO DIMENSIONAL LOCALITY PRESERVING PROJECTION METHOD;

EID: 70350741199     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.09.010     Document Type: Article

References (19)

1. Turk M., and Pentland A.P. Face recognition using eigenfaces. IEEE Conference on Computer Vision and Pattern Recognition (1991) 586-591
2. Belhumeur P.N., Hespanha J.P., and Kriengman D.J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection,. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 (1997) 711-720
3. Xu Y., Yang J.-Y., and Jin Z. A novel method for Fisher discriminant analysis. Pattern Recognition 37 2 (2004) 381-384
4. X. He, P. Niyogi, Locality preserving projections, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 2003.
5. Zheng Z., Yang F., and Tan W. Gabor feature-based face recognition using supervised locality preserving projections. Signal Processing 87 (2007) 2473-2483
6. Yu W., Teng X., and Liu C. Face recognition using discriminant locality preserving projections. Image and Vision Computing 24 (2006) 239-248
7. He X.F., Yan S., Hu Y., Niyogi P., and Zhang H.J. Face recognition using laplacianfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 3 (2005) 328-340
8. Chen S., and Zhao H. 2D-LPP: a two-dimensional extension of locality preserving projections. Neurocomputing 70 (2007) 912-921
9. Hu D., Feng G., and Zhou Z. Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern Recognition 40 (2007) 339-342
10. Zhi R., and Ruan Q. Facial expression recognition base on two-dimensional discriminant locality preserving projections. Neurocomputing 70 (2007) 1543-1546
11. Zhu L., and Zhu S. Face recognition based on orthogonal discriminant locality preserving projections. Neurocomputing 70 (2007) 1543-1546
12. Y. Xu, D. Zhang, A new solution scheme of unsupervised locality preserving projection method for the SSS problem, in: N. da Vitora Lobo, et al. (Eds.), Lecture Notes in Computer Science, Vol. 5342, SSPR&SPR 2008, 2008, pp. 785-791.
13. Yang J., Zhang D., Frangi A.F., and Yang J.-Y. Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2004) 131-137
14. Xu Y., Zhang D., Yang J., and Yang J.-Y. An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing 71 10-12 (2008) 1857-1865
15. Li M., and Yuan B. 2D-LDA: a statistical linear discriminant analysis for image matrix. Pattern Recognition Letter 26 (2005) 527-532
16. Yang J., Zhang D., Xu Y., and Yang J.-Y. Two-dimensional discriminant transform for face recognition. Pattern Recognition 38 7 (2005) 1125-1129
17. 〈http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html〉.
18. 〈http://cobweb.ecn.purdue.edu/∼aleix/aleix_face_DB.html〉.
19. Y. Xu, Z. Jin, Down-sampling face images and low-resolution face recognition, in: Innovative Computing Information and Control on Third International Conference (ICICIC '08), 2008, pp. 392.