FACE IDENTIFICATION ALGORITHMS AND ITS USING

Authors

  • Nikolaj Nechiporuk Vinnitsa National Technical University http://orcid.org/
  • Sergej Vyatkin http://orcid.org/
  • Sergej Romanyuk Vinnitsa National Technical University http://orcid.org/
  • Sergej Pavlov Vinnitsa National Technical University http://orcid.org/

DOI:

https://doi.org/10.30890/2567-5273.2018-05-01-078

Keywords:

stereo pair, depth map, correlation algorithm, perturbation functions, operation of subtraction, voxelization.

Abstract

The problem of face recognition is discussed. For this purpose, a method based on scalar perturbation functions and set-theoretic operation of subtraction is proposed. It is shown that all surface points and the mask volume are used in the process of samp

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References

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I. A. Kakadiaris, G. Passalis, G. Toderici, M. N. Murtuza, Y. Lu, N. Karampatziakis, and T. Theoharis. Three-dimensional face recognition in the presence of facial expressions: an annotated deformable model approach, IEEE Trans. Pattern Anal. Machine Intell. 29(4), p. 640-649, 2007. doi:10.1109/TPAMI.2007.1017

Gtielch E. Results of test on image matching of ISRRs wg iii.Fourth Int Arch Photogrammetry Remote Sensing 27(III), 1988, pp 254-271.

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Nishihara HK, Poggio T. Stereo vision for robotics. ISRR83 Conference, Bretton Woods, NH. 1983.

Anandan P. (1989) A computational framework and an algorithm for the measurement of motion. Int J Computer Vision 2(3) 1989, pp 283-310.

P. Fua. A parallel stereo algorithm that produces dense depth maps and preserves image features. Machine Vision Applications, 6(1), 1993. pp. 35–49.

Published

2017-11-15

How to Cite

Нечипорук, Н., Вяткин, С., Романюк, С., & Павлов, С. (2017). FACE IDENTIFICATION ALGORITHMS AND ITS USING. Modern Engineering and Innovative Technologies, 1(05-01), 111–115. https://doi.org/10.30890/2567-5273.2018-05-01-078

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