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Research Article

Real Time Face Detection and Identification

Sachidanand1 Vinay Prajapati2 Vijay Pratap3 Vivek Kushwaha4
1234 Institute of Technology and Management GIDA Gorakhpur, Uttar Pradesh, India.

Published Online: November-December 2022

Pages: 107-109

Cite this article

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References

1. "Probabilistic Visual Learning for Object Detection," Vision and Modeling Group, The Media Laboratory. Moghaddam, B. and
Pentland, A. M.I.T.
2. School of Human Development, University of Texas at Dallas. O'Toole, Abdi, Diefenbaker, and Valentin, "Low-dimensional
representation of faces in higher dimensions of the face space."
3. Media Labs, M.I.T., "Eigenfaces for Recognition," by M. Turk and A. Pentland.
4. "Automatic Face Detection in Complex Color Images," Garcia C. and Thirties G.http://www.csd.uch.gr/~cgarcia/FACE/Face.html
5. "Face Detection and Neural Networks," Wittman T. and Shen J.http://www.math.umn.edu/~wittman/faces/main.html
6. In their 1995 paper Face Recognition From One Example View, Beyer, D. and Peggie, T. C.B.C.L. Paper No. 121, AI Memo No. 1536,
MIT
7. M. Bichsel (1991). Robust Object Recognition Techniques for Automatic Human Face Recognition Eigensystem Technoscience
Hochschule, Zurich, PhD dissertation.
8. S. E. Brennan published The Caricature Generator in 1982. Masters thesis MIT.
9. Face Recognition: Features vs Templates, by R. Brunelle and T. Roggio, 1993. IEEE.

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