Comparing robustness of two-dimensional PCA and eigenfaces for face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3212, Issue , 2004, Pages 717-724

  Visani, Muriel ^a   Garcia, Christophe ^a   Laurent, Christophe ^a  

^a ORANGE LABS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

EIGENFACES; EIGENFACES METHOD; FERET DATABASE; ILLUMINATION CORRECTION; NOISE REMOVAL; PRE-PROCESSING STEP; RESCALING; TWO-DIMENSIONAL PCA;

FACE RECOGNITION;

EID: 27244459464     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30126-4_87     Document Type: Article

References (9)

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3. Yang, J., Zhang, D., Prangi, A.F.: Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(1) (January 2004) 131-137.
4. Yang, M.H., Kriegman, D., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(1) (2002) 34-58.
5. Garcia, C., Delakis, M.: Convolutional Face Finder: A Neural Architecture for Fast and Robust Face Detection. To appear in IEEE Transaction of Pattern Analysis and Machine Intelligence (2004).
6. Reisfeld, D., Yeshurun, Y.: Preprocessing of Face Images: Detection of Features and Pose Normalization. Computer Vision and Image Understanding 71(3) (September 1998) 413-430.
7. Lemieux, A., Parizeau, M.: Experiments on Eigenfaces Robustness. Proc. International Conf. on Pattern Recognition (ICPR) (2002).
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9. Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: The FERET Database and Evaluation Procedure for Face Recognition Algorithms. Image and Vision Computing 16(5) (1998) 295-306.