Methodological approach for machine based expression and gender classification

2009 IEEE International Advance Computing Conference, IACC 2009

Volumn , Issue , 2009, Pages 1369-1374

  Rao, G Mallikarjuna ^a,b   Babu, G R ^a,b   Kumari, G Vijaya ^a,b   Chaitanya, N Krishna ^a,b  

^a GOKARAJU RANGARAJU INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

^b JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

CSIT; Face detection; Machine learning; Pattern recognition; Pi sigma network

Indexed keywords

CLASSIFICATION EFFICIENCY; CLASSIFICATION PROCESS; COMPUTATION POWER; COMPUTING MACHINES; CSIT; CYCLIC SHIFTS; FACE DETECTION; FACE IDENTIFICATION; FACIAL FEATURE; FRONTAL FACES; GENDER CLASSIFICATION; GEOMETRICAL RELATIONS; MACHINE LEARNING; METHODOLOGICAL APPROACH; PI-SIGMA NETWORK; PIXEL-BASED INFORMATION; QUERY RESPONSE;

NEURAL NETWORKS; PIXELS; ROBOT LEARNING; SPEECH RECOGNITION;

FACE RECOGNITION;

EID: 66249128289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2009.4809216     Document Type: Conference Paper

References (22)

1. Alex Pentland, Baback Moghaddam, and Thad Starner. View-based and modular eigenspaces for face recognition. In Computer Vision and Pattern Recognition, pages 84-91, 1994.
2. Antonio J. Colmenarez and Thomas S. Huang. Face detection with information-based maximum discrimination. In Computer Vision and Pattern Recognition, pages 782-787, 1997
3. Baback Moghaddam and Alex Pentland. Probabilistic visual learning for object detection. In Fifth International Conference on Computer Vision, pages 786-793, Cambridge, Massachusetts, June 1995. IEEE Computer Society Press.
4. D. Beymer, A. Shashua, and T. Poggio. Example based image analysis and synthesis. Technical Report A.I. Memo 1431, MIT, November 1993.
5. Edgar Osuna, Robert Freund, and Federico Girosi. Training support vector machines: an application to face detection. In Computer Vision and Pattern Recognition, pages 130-136, 1997.
6. Gaungzheng Yang and Thomas S. Huang. Human face detection in a complex background. Pattern Recognition, 27(l):53-63, 1994.
7. Gilles Burel and Dominique Carel. Detection and localization of faces on digital images. Pattern Recognition Letters, 15:963-967, October 1994
8. H. A. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1), January 1998.
9. H. A. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1), January 1998. [9] H. Reitboeck and T. P. Brody, A Transformation With Invariance Under Cyclic Permutation for Applications in Pattern Recognition", Inf. & Control, Vol.15, No. 2, 1969, pp. 130-154.
10. He, Z., 1999. Invariant Pattern Recognition with Higher-Order Neural Networks. M.Sc. thesis, School of Electrical and Computer Engineering, Nanyang Technological University, Singapore.
11. J. Kamruzzaman, Y. Kumagai and S. M. Aziz, Character Recognition by Double Backpropagation Neural Network in Proc. TENCON'97, Australia, 1997, pp. 411-414.
12. Kah-Kay Sung. Learning and Example Selection for Object nad Pattern Detection. PhD thesis, MIT AI Lab, January 1996. Available as AI Technical Report 1572.
13. Kin Choong Yow and Roberto Cipolla. Feature-based human face detection. Technical Report CUED/F- INFENG/TR 249, Department of Engineering, University of Cambridge, England, 1996.
14. Pawan Sinha. Object recognition via image invariants: A case study. Investigative Opthal-mology and Visual Science, 35(4), march 1994.
15. R. Vaillant, C. Monrocq, and Y. Le Cun. Original approach for the localisation of objects in images. IEE Proceedings on Vision, Image, and Signal Processing, 141(4), August 1994.
16. T. K. Leung, M. C. Burl, and P. Perona. Finding faces in cluttered scenes using random labeled graph matching. In Fifth International Conference on Computer Vision, pages 637-644, Cambridge, Massachusetts, June 1995. IEEE Computer Society Press.
17. G. Mallikarjuna Rao et al., Intelligent Pattern Recognition : Robotic Vision National Conference on State of Art Technologies, NCAME 2004 JNTU, Hyderabad.
18. th December 05.
19. A S. Tolba, A. H. EI-Baz et al. Face Recognition: A Literature Review International journal of Signal Processing Volume 2 November 2005 ISSN 1304-4494
20. Young H. Kwon et al. Age Classification from Facial Images, Computer Vision and Image Understanding Vol.74. No. 1. April, pp. 1-21,1999
21. A. L. Yuille, P. W. Hallinan, and D. S. Cohen, Feature extraction from faces using deformable templates IJCV 8, No. 2 (1992), 99-111. (Pubitemid 23621958)
22. A. W. Young and H. D. Ellis (Eds.), Handbook of Research on Face Processing, North-Holland, Amsterdam, 1989.