Abstract
This paper describes a prototype implementation of face recognition and verification algorithms in a stand-alone system using the TI TMS320C6711 chip. This system is organized to capture an image sequence, find the features of face in the images, and recognize and verify a person. The current implementation uses the methods of PCA(Principal Component Analysis) and SVM(Support Vector Machines). We have made several tests on video data, and measured the performance and the speed of the proposed system in real environment. Finally, the result has confirmed us that the proposed system can be applied to various applications which are impossible in conventional PC-based systems.
This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Scholkopf, B., Burges, C., Smola, A.: Advances in Kernel Methods-Support Vector Learning. MIT Press (1998)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience, 3 1 (1991) 77–86
Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press (2000)
Genov, R., Cauwenberghs, G.: Kerneltron: Support Vector ‘Machine’ in Silicon. Pattern Recognition with Support Vector Machines, Lecture Notes in Computer Science, 2388 (2002) 120–134
IBM ZISC036 Data Sheet, http://www.ibm.com
Sukthankar, R., Stockton, R.: Argus: The Digital Doorman. IEEE Intelligent Systems, 16 2 (2001) 14–19
Yang, F., Paindavoine, M., Abdi, H.: Parallel Implementation on DSPs of a Face Detection Algorithm. Proc. of International Conference on the Software Process, Chicago, USA (1998)
Gilbert, J. M., Yang, W.: A Real-Time Face Recognition System Using Custom VLSI Hardware. Proc. of Computer Architectures for Machine Perceptron Workshop, New Orleans, USA (1993) 58–66
Texas Instruments: TMS320C6000 Tools: Vector Table and Boot ROM Creation (Rev. C). Application Report SPRA544C (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, SW., Lee, SW., Jung, HC. (2003). Real-Time Implementation of Face Recognition Algorithms on DSP Chip. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_35
Download citation
DOI: https://doi.org/10.1007/3-540-44887-X_35
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40302-9
Online ISBN: 978-3-540-44887-7
eBook Packages: Springer Book Archive