Enhancing the performance of active shape models in face recognition applications

IEEE Transactions on Instrumentation and Measurement

Volumn 61, Issue 8, 2012, Pages 2330-2333

  Behaine, Carlos A R ^a   Scharcanski, Jacob ^a  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Active shape model (ASM); adjusted mutual information (AMI); face recognition; feature selection; image sensors

Indexed keywords

ACTIVE SHAPE MODEL; ACTIVE SHAPE MODELS; BIOMETRIC FEATURES; FACE CLASSIFICATION; FACE IMAGES; FACE RECOGNITION SYSTEMS; FACIAL FEATURE; HIGHER WEIGHT; LANDMARK SELECTION; MUTUAL INFORMATIONS; PERSONAL IDENTITY; SHAPE MATCHING;

FEATURE EXTRACTION; IMAGE SEGMENTATION; IMAGE SENSORS;

FACE RECOGNITION;

EID: 84863987919     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2012.2188174     Document Type: Article

References (12)

1. A. Hill, T. Cootes, and C. Taylor, "Active shape models and the shape approximation problem," Image Vis. Comput., vol. 14, no. 8, pp. 601-607, Aug. 1996. (Pubitemid 126360015)
2. K.W.Wan, K.M. Lam, and K. C. Ng, "An accurate active shape model for facial feature extraction," Pattern Recog. Lett., vol. 26, no. 15, pp. 2409- 2423, Nov. 2005.
3. J. Kim, M. Cetin, and A. S. Willsky, "Nonparametric shape priors for active contour-based image segmentation," Signal Process., vol. 87, no. 12, pp. 3021-3044, Dec. 2007. (Pubitemid 47259188)
4. Z. Zheng, J. Jiong, D. Chunjiang, X. Liu, and J. Yang, "Facial feature localization based on an improved active shape model," J. Inf. Sci., vol. 178, no. 9, pp. 2215-2223, May 2008.
5. S. Milborrow and F. Nicolls, "Locating facial features with an extended active shape model," in Proc. Eur. Conf. Comput. Vis., 2008, vol. 10, pp. 504-513.
6. N. X. Vinh, J. Epps, and J. Bailey, "Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance," J. Mach. Learn. Res., vol. 11, pp. 2837-2854, Oct. 2010.
7. J. Shi, A. Samal, and D. Marx, "How effective are landmarks and their geometry for face recognition?" Comput. Vis. Image Understand., vol. 102, no. 2, pp. 117-133, May 2006.
8. M. Figueiredo and A. K. Jain, "Unsupervised learning of finite mixture models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 3, pp. 381- 396, Mar. 2002. (Pubitemid 35289353)
9. M. A. Turk and A. P. Pentland, "Face recognition using eigenfaces," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recog., Jun. 1991, vol. 6, pp. 586-591.
10. D. Cai, X. He, and J. Han, "SRDA: An efficient algorithm for large-scale discriminant analysis," IEEE Trans. Knowl. Data Eng., vol. 20, no. 1, pp. 1-12, Jan. 2008.
11. H. Demirel and G. Anbarjafari, "Data fusion boosted face recognition based on probability distribution functions in different colour channels," EURASIP J. Adv. Signal Process., vol. 2009, pp. 1-10, 2009.
12. Face Database, Vision Group, University of Essex, U.K. [Online]. Available: http://cswww.essex.ac.uk/mv/allfaces/faces94.html