Geodesic
Recognition face in picture by means of analysis of special regions
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 149 (2007) no. 2, pp. 138-145 Cet article a éte moissonné depuis la source Math-Net.Ru

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A new approach to face recognition problem is suggested. The approach is based on the hypothesis that human beings recognize person in picture by means of an analysis of brightest spots in picture. Comparing two pictures of the same person one has to level sizes of the pictures. To this end a special procedure that was developed by the authors earlier is implemented. After the leveling is completed the brightest regions in the picture are detected by the technique of non-orthogonal wavelet transform. Each transformed picture is replaced by its Fourier transform. The final decision based on a compare of the found Fourier coefficients. 
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     title = {Recognition face in picture by means of analysis of special regions},
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E. L. Stolov; A. V. Shlyannikov. Recognition face in picture by means of analysis of special regions. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 149 (2007) no. 2, pp. 138-145. http://geodesic.mathdoc.fr/item/UZKU_2007_149_2_a9/

[1] Ming-Hsuan Y., Kriegman D. J., Ahuja N., “Detecting faces in images: a survey”, IEEE Trans. Pattern Analysis and Machine Intelligence, 24 (2002), 34–57 | DOI

[2] Aivazyan S. A. i dr., Klassifikatsiya i snizhenie razmernosti, Finansy i statistika, M., 1989, 607 pp.

[3] Song H., Chung S. J., Park Y. H., “An online face recognition system using multiple compressed images over the internet”, Web Information Systems Engineering – WISE'2005, Lecture Notes in Computer Science, 3806, Springer, Berlin–Heidelberg, 2005, 569–576 | DOI

[4] Yang J. et al., “Two-dimensional PCA: a new approach to appearance-based face representation and recognition”, IEEE Trans. Pattern Analysis and Machine Intelligence, 26 (2004), 131–137 | DOI

[5] Sinha P., Balas B., Ostrovsky Y., Russell R., “Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About”, Proc. IEEE, 94 (2006), 1948–1961 | DOI

[6] Stolov E. L., “Parallelnyi algoritm dlya otyskaniya vodyanykh znakov v izobrazhenii”, Vestn. Kazan. gos. tekhn. un-ta im. A. N. Tupoleva, 2006, no. 3, 37–40

[7] Stolov E. L., Shlyannikov A. V., “Algoritm raspoznavaniya lits na fotografii s pomoschyu veivlet preobrazovaniya spetsialnogo vida”, Modelirovanie protsessov, Tr. Kazan. nauch. seminara “Metody modelirovaniya”, v. 3, 2007, 87–95

[8] Candes E. J., Donoho D. L., “New tight frames of curvelets and optimal representations of objects with piecewise $C^2$ singularities”, Comm. Pure Appl. Math., 57 (2004), 219–266 | DOI | MR | Zbl