Abstract
Now these days, much research has been carried out on context-aware computing that is an important field in the area of ubiquitous computing, which offers a pervasive vision to implement a smart system by connecting computers, sensors and other peripherals in wired or unwired fashion. The main focus of this paper is on context modeling to design a real-time face recognition system for ubiquitous computing. In this research, a real-time framework with the combining concepts of context-awareness and genetic algorithm referred as real-time genetic algorithm (RGA) is proposed that meets the characteristics of context model and developments of a ubiquitous application. This framework is implemented on a real-time environment and a recognizable success is notified.
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References
Liu, H., et al.: Illumination Compensation and Feedback of Illumination Feature in Face Detection. In: Proc. International Conferences on Information-technology and Information-net, Beijing, vol. 3, pp. 444–449 (2001)
Lee, J., et al.: A Bilinear Illumination Model for Robust Face Recognition. In: 10th IEEE International conference on Computer Vision (ICCV 2005) (2005)
Savvides, M., et al.: Corefaces- Robust Shift Invariant PCA based Correlation Filter for Illumination Tolerant Face Recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004) (2004)
Laiyun, et al.: Face Relighting for Face Recognition Under Generic Illumination. In: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2004) (2004)
Wang, H., Li, S.Z., et al.: Illumination Modeling and Normalization for Face Image. In: IEEE International workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003) (2003)
Rhee, P.K., Nam, M.-Y., Jeon, I.J.: Context-Aware Evolvable System Framework for Environment Identifying Systems. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS, vol. 3682, pp. 270–283. Springer, Heidelberg (2005)
Ripley, B.D.: Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge (1997)
Nam, M.-Y., Rhee, P.K.: Hybrid Filter Fusion for Robust Visual Information Processing. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS, vol. 3684, pp. 186–194. Springer, Heidelberg (2005)
Sun, J., Wu, Z.: A Comprehensive Context Model for next generation ubiquitous computing applications. In: IEEE conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005) (2005)
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Bashar, M.R., Young, N.M., Rhee, P.K. (2006). A Context Model for Ubiquitous Computing Applications. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_15
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DOI: https://doi.org/10.1007/11893011_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
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