[1]
Y. Adini, Y. Moses and S. Ullman: Face recognition: The problem of compensating for changes in illumination direction. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 19 (1997), p.721–732.
DOI: 10.1109/34.598229
Google Scholar
[2]
A. Bronstein, M. Bronstein, E. Gordon and R. Andkimmel: 3D face recognition using geometric invariants. (Proceedings of International Conference on Audio- and Video-Based Person Authentication, 2003).
DOI: 10.1007/3-540-44887-x_8
Google Scholar
[3]
T. T. T. Bui, N. H. Phan, V. G. Spitsyn: Face Recognition Based on Combination of Wavelet Transforms and Principal Component Analysis (Proceedings of International Forum on Strategic Technology, 2014).
DOI: 10.1109/ifost.2012.6357626
Google Scholar
[4]
V. Gaganov, А. Konushin: Segmentation of the moving objects in a video stream. Computer graphics and multimedia. - 2004. - №2(3). Access mode: http: /cgm. computergraphics. ru/content/view/67, free.
Google Scholar
[5]
V. T. Fisenko, T. Yu. Fisenko: Computer processing and image recognition: study guide. - SPb: SPbSU ITMO, 2008. – p.192.
Google Scholar
[6]
Yu. I. Monich, V. V. Starovoytov: Evaluation of quality to analyze the digital images. - Minsk: State scientific institution OIPI NAS Belorussia, (2008).
Google Scholar
[7]
D. Kanjar, V. Masilamani: Image Sharpness Measure for Blurred Images in Frequency Domain. International Conference on Design and Manufacturing. - Procedia Engineering, 2013. - P. 149 – 158.
DOI: 10.1016/j.proeng.2013.09.086
Google Scholar
[8]
X. Tan and B. Triggs: Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. IEEE Transactions on image processing, Vol. 19, № 6, June 2010. – P. 1635-1650.
DOI: 10.1109/tip.2010.2042645
Google Scholar
[9]
D.F. DeMenthon and L.S. Davis: Model-based object pose in 25 lines of code. International Journal of Computer Vision, Vol. 15, Issue 1-2, June 1995. P. 123-141.
DOI: 10.1007/bf01450852
Google Scholar
[10]
S. Milborrow, T. E. Bishop and F. Nicolls. Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge. The IEEE International Conference on Computer Vision (ICCV) Workshops, 2013, P. 378-385.
DOI: 10.1109/iccvw.2013.57
Google Scholar