Bag-of-words vector quantization based face identification

2nd International Symposium on Electronic Commerce and Security, ISECS 2009

Volumn 2, Issue , 2009, Pages 29-33

  Liu, Di ^a   Sun, Dong Mei ^a   Qiu, Zheng Ding ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BAG OF WORDS; FACE IDENTIFICATION; FEATURE TRANSFORM; FEATURE VECTORS; ORL DATABASE; SCALE INVARIANCE; SCHWARTZ INEQUALITY; SVM CLASSIFIERS; TEXT CLASSIFICATION;

ELECTRONIC COMMERCE; FACE RECOGNITION; NETWORK SECURITY; TEXT PROCESSING; VECTOR SPACES; VECTORS;

VECTOR QUANTIZATION;

EID: 74049159036     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISECS.2009.15     Document Type: Conference Paper

References (18)

1. D. G. Lowe, Object recognition from local scale-invariant features, International Conference on Computer Vision, Corfu, Greece, pp.1150-1157,1999.
2. A. Bosch, X. Munoz, R. Marti, Which is the best way to organize/classify images by content? Image and Vision Computing 25, pp.778-791, 2007.
3. ORL online face database, URL:www.cl.cam.ac.uk/research/dtg/attarchive/ facedatabase.html
4. M. E. Munich, P. Pirjanian, E. D. Bernardo, L. Goncalves, N. Karlsson, and D. G. Lowe, SIFT-ing through features with ViPR: Application of visual pattern recognition to robotics and automation, IEEE Robotics and Automation Magazine, pp.72-77, 2006.
5. J.G.Proakis and D.G.Manolakis, Digital Signal Processing, Pearson Education Press, 2007.
6. P. Belhumeur and D. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7): pp. 711-720, 1997.
7. P. C. Yuen and J. H. Lai, Face representation using indipendent component analysis, Pattern Recognition, 35(6): pp. 1247-1257, 2002.
8. M. A. Turk and A. P. Pentland, Eigenfaces for recognition, The Journal of Cognitive Neuroscience, 3: pp. 71-86, 1991.
9. S. L. G. Guo and K. Chan, Face recognition by support vector machines, IEEE International Conference on Automatic Face and Gesture Recognition, pp. 196-201, 2000.
10. Z. M. Hafed and M. D. Levine, Face recognition using the discrete cosine transform, International Journal of Computer Vision, 43(3),2001.
11. Z. Pan and H. Bolouri, High speed face recognition based on discrete cosine transforms and neural networks, Technical report, Univ. of Hertfordshir, 1999.
12. C.Xu, H.Jiang, J.Yu, Robust two-dimensional principle component analysis, 27th Chinese Control Conference, pp.452-455, 2008.
13. B. Liu, B. Liu, X. Sun, and J. Zhang, Eigenface classification using an extended kernel-based nonlinear discriminator, International Conference on Communications, Circuits and Systems, Volume 2, pp. 1123-1126, 2004.
14. Y. Li, Z. Mu, X. Xu, Multimodal recognition based on face and ear International Conference on Wavelet Analysis and Pattern Recognition, Volume 3, pp. 1203 - 1207, 2007.
15. H. Cevikalp, D. Larlus, F. Jurie, A supervised clustering algorithm for the initialization of RBF neural network classifiers Signal Processing and Communications Applications, pp.1-4, 2007.
16. A.S.Mian, M. Bennamoun, R.Owens, An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume 29, Issue 11, pp. 1927-1943, 2007.
17. J. Luo, Y. Ma, E. Takikawa, S. Lao, M. Kawade, B. Lu, Person-Specific SIFT features for face recognition, International Conference on Acoustics, Speech and Signal Processing, Volume 2, pp. 593-596, 2007.
18. D. R. Kisku, A. Rattani, E. Grosso, M. Tistarelli, Face Identification by SIFT-based Complete Graph Topology, IEEE Workshop on Automatic Identification Advanced Technologies, pp. 63-68, 2007.