Biometrics for Surveillance: Reference on Face Recognition
State-of-the-art
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  14. R. Chellappa, A. Roy-Chowdhury, and S. Zhou, Recognition of Humans and Their Activities Using Video, Morgan & Claypool Publishers, 2005.
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  18. W. Zhao, R. Chellappa, and A. Krishnaswamy, “Discriminant analysis of principal components for face recognition,” Proceedings of International Conference on Automatic Face and Gesture Recognition, pp. 361-341, Nara, Japan, 1998.
  19. W. Zhao, R. Chellappa, A. Rosenfeld, and J. Phillips, “Face recognition: A literature survey,” ACM Computing Surveys, vol. 35, pp. 399-458, 2003.
  20. W. Zhao and R. Chellappa (Eds.), Face Processing: Advanced Modeling and Methods, Academic Press, 2005.
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Face recognition under variations
  1. Y. Adini, Y. Moses, and S. Ullman, "Face recognition: the problem of compensating for changes in illumination direction," IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 721-732.
  2. R. Basri and D. Jacobs, “Lambertian reflectance and linear subspaces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 218–233, 2003.
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  7. R. Gross, I. Matthews, and S. Baker, “Appearance-based face recognition and light-fields,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 4, pp. 449 - 465, April, 2004.
  8. D. Jacobs, P. Belhumeur and R. Basri, "Comparing Images Under Variable Illumination," IEEE Conference on Computer Vision and Pattern Recognition, pp. 610-617, 1998.
  9. Narayanan Ramanathan and Rama Chellappa, "Face Verification across Age Progression," IEEE Computer Vision and Pattern Recognition, vol. 2, pp: 462-469, June 2005, San Diego.
  10. A. Pentland, B. Moghaddam, and T. Starner, “View-based and modular eigenspaces for face recognition,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, WA, 1994.
  11. A. Shashua, “On photometric issues in 3d visual recognition from a single 2D image,” International Journal of Computer Vision, vol. 21, pp. 99–122, 1997.
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  13. L. Zhang and D. Samaras, "Face recognition under variable lighting using harmonic image exemplars," CVPR, vol. I, pp. 19–25, 2003.
  14. W. Zhao and R. Chellappa, “Symmetric shape from shading using self-ratio image,” International Journal of Computer Vision, vol. 45, pp. 55–752, 2001.
  15. S. Zhou and R. Chellappa, "Image-based face recognition under illumination and pose variations," Journal of the Optical Society of America (JOSA), A,Vol. 22, pp. 217-229, February 2005.
  16. S. Zhou, B. Georgescu, X. Sean Zhou, and D. Comaniciu, "Image based regression using boosting method," IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005.
  17. S. Zhou, G. Aggarwal, R. Chellappa, and D. Jacobs, "Appearance characterization of linear Lambertian objects, generalized photometric stereo and illumination-invariant face recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006. (Accepted)
Face recognition from video and multiple images
  1. G. Aggarwal, A.K. Roy-Chowdhury, R. Chellappa, "A System Identification Approach for Video-based Face Recognition," Proc. of the International Conference on Pattern Recognition, 23-26 August 2004, Cambridge, UK.
  2. O. Arandjelovic, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell, "Face Recognition with Image Sets Using Manifold Density Divergence," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005.
  3. A. Fitzgibbon and A. Zisserman, “Joint manifold distance: a new approach to appearance based clustering,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Madison, WI, 2003.
  4. K. Lee, M. Yang, and D. Kriegman, “Video-based face recognition using probabilistic appearance manifolds,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, WI, 2003.
  5. Y. Li, S. Gong, and H. Liddell, “Constructing facial identity surfaces in a nonlinear discriminant space,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Hawaii, 2001.
  6. X. Liu and T. Chen, “Video-based face recognition using adaptive hidden markov models,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Madison, WI, 2003.
  7. T. Jebara and R. Kondor, “Bhattarcharyya and expected likelihood kernels,” Conference on Learning Theory (COLT), 2003.
  8. M. Levoy and P. Hanrahan, “Light field rendering,” Proceedings of ACM SIGGRAPH, New Orleans, LA, USA, 1996.
  9. G. Shakhnarovich, J. Fisher, and T. Darrell, “Face recognition from longterm observations,” Proc. European Conference on Computer Vision, Copenhagen, Denmark, 2002.
  10. M.A.O. Vasilescu and D. Terzopoulos, “Multilinear analysis of image ensembles: Tensorfaces,” European Conference on Computer Vision, vol. 2350, pp. 447-460, Copenhagen, Denmark, May 2002.
  11. L. Wolf and A. Shashua, “Kernel principal angles for classification machines with applications to image sequence interpretation,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, WI, 2003.
  12. J. Xiao, J. Chai, and T. Kanade, "A closed-form solution to nonrigid shape and motion recovery," European Conference on Computer Vision, 2004.
  13. O. Yamaguchi, K. Fukui, and K. Maeda, "Face recognition using temporal image sequence," Proc. of IEEE Internation Conf. on Face and Gesture Recognition, pages 318--323, Nara, Japan, Apr. 1998.
  14. S.  Zhou, V. Krueger, and R. Chellappa, "Probabilistic recognition of human faces from video," Computer Vision and Image Understanding (CVIU) (special issue on Face Recognition), Vol. 91, pp. 214-245, 2003.
  15. S. Zhou and R. Chellappa, "Probabilistic identity characterization for face recognition," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Washington D.C., USA, June 2004.
  16. S.  Zhou, R. Chellappa, and B. Moghaddam, "Visual tracking and recognition using appearance-adaptive models in particle filters," IEEE Transactions on Image Processing (TIP), Vol. 11, pp. 1434-1456, November 2004.
  17. S. Zhou and R. Chellappa, "Beyond a single still image: Face recognition from multiple still images and videos," Face Processing: Advanced Modeling and Methods, W. Zhao and R. Chellappa (Eds.), Academic Press, 2005.
  18. S. Zhou and R. Chellappa, "From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28. No. 6, pp. 917-929, June 2006.