Graphical Model Approach to Iris Matching Under Deformation and Occlusion
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B. V. K. Vijaya Kumar | Narayanaswamy Balakrishnan | Jason Thornton | Marios Savvides | Ryan A. Kerekes
[1] Jason Thornton,et al. Enhanced iris matching using estimation of in-plane nonlinear deformations , 2006, SPIE Defense + Commercial Sensing.
[2] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[3] Michael Boyd,et al. Iris Recognition , 2006 .
[4] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[5] David G. Stork,et al. Pattern Classification , 1973 .
[6] John Daugman. High confidence recognition of persons by iris patterns , 2001, Proceedings IEEE 35th Annual 2001 International Carnahan Conference on Security Technology (Cat. No.01CH37186).
[7] Nebojsa Jojic,et al. LOCUS: learning object classes with unsupervised segmentation , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[8] Andrew Zisserman,et al. Learning Layered Motion Segmentation of Video , 2005, ICCV.
[9] P. Pérez,et al. Markov random fields and images , 1998 .
[10] 大西 仁,et al. Pearl, J. (1988, second printing 1991). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann. , 1994 .
[11] G. O. Williams. Iris recognition technology , 1997 .
[12] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[13] Andrew Blake,et al. The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data , 2004, NIPS.
[14] Brendan J. Frey,et al. A comparison of algorithms for inference and learning in probabilistic graphical models , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.