EBGM vs subspace projection for face recognition

VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications

Volumn 2, Issue , 2006, Pages 131-137

  Stergiou, Andreas ^a   Pnevmatikakis, Aristodemos ^a   Polymenakos, Lazaros ^a  

^a ATHENS INFORMATION TECHNOLOGY   (Greece)

Author keywords

Computer vision; Face recognition; Human machine interfaces

Indexed keywords

APPEARANCE-BASED METHODS; AUDIO STREAM; COLLABORATIVE USERS; DEPLOYMENT SCENARIOS; ELASTIC BUNCH GRAPH MATCHING; FEATURE-BASED; HUMAN MACHINE INTERFACE; HUMAN-MACHINE INTERFACES; LINEAR SUBSPACE; MULTI-CAMERAS; RF-ID TAGS; SUBSPACE PROJECTION; VIDEO STREAMS;

COMPUTATIONAL METHODS; COMPUTER APPLICATIONS; COMPUTER VISION; HYDRAULICS; INTERFACES (COMPUTER); INTERFERENCE SUPPRESSION; MAN MACHINE SYSTEMS; TEST FACILITIES; VIDEO STREAMING;

FACE RECOGNITION;

EID: 75649096349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Belhumeur, P., Hespanha, J., and Kriegman, D. (1997). Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):711-720.
2. Beveridge, J. and She, K. (2001). Fall 2001 update to CSU PCA versus PCA+LDA comparison. Technical report, Colorado State University, Fort Collins, CO.
3. Bolme, D. S. (2003). Elastic Bunch Graph Matching. Master's thesis, Computer Science Department, Colorado State University.
4. Brunelli, R. and Poggio, T. (1993). Face recognition: Features versus templates. IEEE Trans. Pattern Analysis and Machine Intelligence, 15:1042-1052.
5. Christmas, B. and Galambos, C. (2005). http://www.ee.surrey.ac.uk/ Research/VSSP/RavlDoc/share/doc/RAVL/Auto/Basic/Tree/Ravl.html.
6. Duda, R., Hart, P., and Stork, D. (2000). Pattern Classification. Wiley-Interscience, New York.
7. Georghiades, A., Belhumeur, P., and Kriegman, D. (2001). From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Analysis and Machine Intelligence, 23(6):643-660.
8. Gunning, J. and Murphy, N. (1992). Neural network based classification using automatically selected feature sets. IEE Conf. Series 359, pages 29-33.
9. Jesorsky, O., Kirchberg, K., and Frischholz, R. (2001). Robust face detection using the Hausdorff distance. In Audio and Video based Person Authentication-AVBPA 2001, pages 90-95. Springer.
10. Martinez, A. and Kak, A. (2001). PCA versus LDA. IEEE Trans. Pattern Analysis and Machine Intelligence, 23(2):228-233.
11. Pentland, A., Moghaddam, B., and Starner, T. (1994). View-based and modular eigenspaces for face recognition. Proc. IEEE Conf. on Comp. Vision & Pattern Rec., pages 84-91.
12. Pnevmatikakis, A. and Polymenakos, L. (2004). Comparison of eigenface-based feature vectors under different impairments. Int. Conf. Pattern Recognition 2004, 1:296-300.
13. Pnevmatikakis, A. and Polymenakos, L. (2005). A testing methodology for face recognition algorithms. In 2nd Joint Workshop on Multi-Modal Interaction and Related Machine Learning Algorithms, Edinburgh.
14. Turk, M. and Pentland, A. (1991). Eigenfaces for recognition. J. Cognitive Neuroscience, 3:71-86.
15. Waibel, A., Steusloff, H., and Stiefelhagen, R. (2004). CHIL - Computers in the Human Interaction Loop. In 5th International Workshop on Image Analysis for Multimedia Interactive Services - WIAMIS 2004.
16. Wiskott, L., Fellous, J.-M., Krueger, N., and von der Malsburg, C. (1999). Face recognition by Elastic Bunch Graph Matching. In Intelligent Biometric Techniques in Fingerprint and Face Recognition, chapter 11, pages 355-396. CRC Press.
17. Yang, M., Kriegman, D., and Ahuja, N. (2002). Detecting faces in images: A survey. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(1):34-58.
18. Zhao, W., Chellappa, R., Rosenfeld, A., and Phillips, P. (2000). Face recognition: A literature survey.