Abstract
This paper proposes an efficient face recognition system which is invariant to pose. It presents a transformation to generate features of the frontal face from a given posed image of a subject. The proposed system has been tested on three databases viz. IITK, FERET and CMU-PIE. It has been observed that it performs better than the existing well known system.
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References
Vetter, T., Poggio, T.: Linear Object Classes and Image Synthesis from a Single Example Image. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 733–742 (1997)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)
Gonzalez, D., Alba-Castro, J.L.: Pose Correction and Subject-Specific Features for Face Authentication. In: Proceedings of the 18th International Conference on Pattern Recognition, pp. 602–605 (2006)
Cootes, T.F., Cooper, D.H., Taylor, C.J., Graham, J.: Active Shape Models - their Training and Application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Wiskott, L., Fellous, J.-M., Krüger, N., von der Malsburg, C.: Face Recognition by Elastic Bunch Graph Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 775–779 (1997)
Lee, H.-S., Kim, D.: Generating frontal view face image for pose invariant face recognition. Pattern Recognition Letters 27(7), 747–754 (2006)
Chai, X., Shan, S., Chen, X., Gao, W.: Local Linear Regression(LLR) for Pose Invariant Face Recognition. In: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR 2006), pp. 631–636 (2006)
Gross, R., Matthews, I., Baker, S.: Eigen Light-Fields and Face Recognition Across Pose. In: Proceedings of the 5th International Conference on Automatic Face and Gesture Recognition (FGR 2002), pp. 1–7 (2002)
Blanz, V., Vetter, T.: A Morphable Model For The Synthesis Of 3D Faces. In: Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, pp. 187–194 (1999)
Pentland, A., Moghaddam, B., Starner, T.: View-Based and Modular Eigenspaces for Face Recognition. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp. 84–91 (1994)
Hoerl, A.E., Kennard, R.W.: Ridge Regression: Biased Estimation for Nonorthogonal Problems. Technometrics 12(1), 55–67 (1970)
Marco, V.R., Younga, D.M., Turnerb, D.W.: The Euclidean distance classifier: an alternative to the linear discriminant function. Journal of Communications in Statistics - Simulation and Computation 16(2), 485–505 (1987)
Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing 16(5), 295–306 (1998)
Sim, T., Baker, S., Bsat, M.: The CMU Pose, Illumination, and Expression Database. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1615–1618 (2003)
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Kumar, J., Nigam, A., Prakash, S., Gupta, P. (2012). An Efficient Pose Invariant Face Recognition System. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 131. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0491-6_14
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DOI: https://doi.org/10.1007/978-81-322-0491-6_14
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0490-9
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