Geodesic
Combined method of face detection on images using Gaussian mixture model and Haar's cascades
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, no. 4 (2013), pp. 99-104

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The well known Gaussian mixture model and the Viola–Jones algorithm are combined into one method which provides a high detection rate and a low false negative rate. A two-dimensional windowed discrete cosine transform is shown. Discrete cosine transform coefficients were used as learning features for a mixture model. Optimal parameters of Gaussian mixture model and the number of the first cosine coefficients are found out. The proposed method is compared with Viola–Jones approach on a large image database from social networks. Bibliogr. 17. Il. 4. Table 2.
Keywords: face detection, image processing, pattern recognition, Viola–Jones, Gaussian mixture model
Mots-clés : cosine transform. 
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     author = {D. M. Timoshenko},
     title = {Combined method of face detection on images using {Gaussian} mixture model and {Haar's} cascades},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
     pages = {99--104},
     publisher = {mathdoc},
     number = {4},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VSPUI_2013_4_a11/}
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D. M. Timoshenko. Combined method of face detection on images using Gaussian mixture model and Haar's cascades. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, no. 4 (2013), pp. 99-104. http://geodesic.mathdoc.fr/item/VSPUI_2013_4_a11/