DESIGN AND IMPLEMENTATION ON A FPGA OF A FACIAL RECOGNITION SYSTEM USING “EIGEN FACES”
Resumen
Automated Facial recognition is a very complex problem due to the many factors that affect the way an image of a person’s face looks. Most of these have no relation to the actual identity of the person. The algorithms used to solve this issue can take advantage of a high level of parallelism and the applications require real time processing. For these reasons, an implementation on hardware is very convenient. In this article, such implementation is presented using a Xilinx Virtex 6 FPGA using one of the most common algorithms, called Eigen Faces.
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C. Turati, V. Macchi, F.S. Cassia, I. Leo, “Newborns face recognition: Role of inner and outer facial features”. Child Development. Vol. 77. No. 2. 2006. Pp. 297–311.
C. Lu, X. Tang, “Surpassing Human-Level Face Verification Performance on LFW with GaussianFace”. In arXiv, Cornell University. 16 Jun 2014.
R. Jafri, H. Arabnia, “A Survey of Face Recognition Techniques”. Journal of Information Processing Systems. Vol. 5. No. 2. June 2009.
H. Leung, L. Cheng, X. Yu Li, "A FPGA implementation of facial feature extraction". Journal of Real-Time Image Processing. Vol. 10. 2015. Pp. 135-149.
G. Mahale, H. Mahale, A. Goel, S. K. Nandy, S. Bhattacharya, R. Narayan, "Hardware Solution for Real-Time Face Recognition". 28th International Conference on VLSI Design, Bangalore. 2015. Pp. 81-86.
S. Agrawal, P. Khatri, "Facial Expression Detection Techniques: Based on Viola and Jones Algorithm and Principal Component Analysis". Fifth International Conference on Advanced Computing & Communication Technologies, Haryana. 2015. Pp. 108-112.
A. Martinez, A. Kak, “PCA versus LDA”. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 23. No.2. 2011. Pp. 228-233.
P. Singh, A. Sharma, “Face Recognition Using Principal Component Analysis in MATLAB”. International Journal of Scientific Research in Computer Science and Engineering. Vol. 3. Issue 1. 28 February 2015.
M. J. Pemeena, K. Murugesan, S. R. Inabathini, G. K. Rajini, Dinesh, A. Kumar, “Recognizing the 2D Face Using Eigen Faces By PCA”. Journal of Theorical and Applied Information Technology. Vol. 82. No. 1. 10 December 2015.
R. S. Negi, R. Garg, “Face Recognition Using Hausdroff Distance as a Matching Algorithm”. International Journal of Scientific Research. Vol. 4. Issue 9. September 2015.
Hopstarter, “Face Avatars Icons”. August 2011. via IconArchive, Creative Commons Attribution.
H. Kim, M. Lee, Y. Baek, S. Kim, B. Koo, J. Lee, “Fully Hardwired Illumination Invariant Face Recognition Engine and FPGA Implementation”. 2015 IEEE International Symposium on Consumer Electronics. January 2015.
S. H. Gorde, M. Kumar. P. Balramudu, “An FPGA based Face Recognition System using Gabor and Local Binary Pattern”. International Journal of Advanced Research in Electronics and Communication Engineering. Vol. 5. Issue 1. January 2016.
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