Face recognition using Local Graph Structure (LGS)

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

Volumn 6762 LNCS, Issue PART 2, 2011, Pages 169-175

  Abusham, Eimad E A ^a   Bashir, Housam K ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

Algorithm; Feature evaluation and selection; Pattern Recognition

Indexed keywords

DOMINATING SETS; FEATURE EVALUATION AND SELECTION; GRAPH STRUCTURES; NOVEL ALGORITHM; ORL FACE DATABASE;

ALGORITHMS; BIOMETRICS; FEATURE EXTRACTION; GRAPHIC METHODS; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; PATTERN RECOGNITION;

FACE RECOGNITION;

EID: 79960316660     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21605-3_19     Document Type: Conference Paper

References (17)

1. Bruce, V., et al.: Human face perception and identification. NATO ASI series. Series F: Computer and System Sciences, pp. 51-72 (1998)
2. Kelly, M.: Visual identification of people by computer. Dept. of Computer Science, Stanford University (1970)
3. Kanade, T.: Computer recognition of human faces (1977)
4. Cox, I., et al.: Feature-based face recognition using mixture-distance, Computer Vision and Pattern Recognition. IEEE Press, Piscataway (1996)
5. Nefian, A., Iii, M.: A hidden Markov model-based approach for face detection and recognition (1998)
6. Samaria, F., Young, S.: HMM-based architecture for face identification. Image and Vision Computing 12, 537-543 (1994)
7. Wiskott, L., et al.: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 775-779 (2002)
8. Buhmann, J., et al.: Size and distortion invariant object recognition by hierarchical graph matching, pp. 411-416 (2002)
9. Lades, M., et al.: Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers 42, 300-311 (2002)
10. Lee, T.: Image representation using 2D Gabor wavelets. IEEE Transactions on Pattern Analysis and Machine Intelligence 18, 959-971 (2002)
11. Krüger, N., et al.: Determination of face position and pose with a learned representation based on labelled graphs* 1. Image and Vision Computing 15, 665-673 (1997)
12. Krüger, N., et al.: Autonomous learning of object representations utilizing self-controlled movements. In: Proc. of Neural Networks in Applications, NN, vol. 98, pp. 25-29 (1998)
13. Baldi, P., Hornik, K.: Neural networks and principal component analysis: Learning from examples without local minima. Neural networks 2, 53-58 (1989)
14. Bartlett, M., et al.: Face recognition by independent component analysis. IEEE Transactions on Neural Networks 13, 1450-1464 (2002)
15. Zou, J., et al.: A comparative study of local matching approach for face recognition. IEEE Transactions on Image Processing 16, 2617-2628 (2007)
16. Javier, R., et al.: Recognition of faces in unconstrained environments: a comparative study. EURASIP Journal on Advances in Signal Processing 2009 (2009)
17. Samaria, F., Harter, A.: Parameterisation of a stochastic model for human face identification, pp. 138-142 (1994)