Abstract
Problem of human vision pathology diagnostics is being studied with the aid of computer vision technology. Hardware-software complex developed for this research is described. Several face asymmetry evaluation algorithms are analyzed. Relationship between asymmetry measure and medical diagnosis data is investigated.
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Alexander B. Murynin (born in 1960) received his MS degree in 1984 from Moscow Institute of Physics and Technology (MIPT), Department of Physics and Power engineering. He received his PhD degree in 1991 from Scientific Industrial Corporation “Kometa.” Since 1993 he works in Dorodnicyn Computing Centre of Russian Academy of Sciences, where he has a position of Senior Researcher. He has accomplished a series of projects in development of multimodal biometric algorithms for some leading software vendors, among them Samsung Research Center. He has got about 90 publications in image processing, pattern recognition, computer simulation.
Ivan A. Matveev (born in 1973) received his MS degree in 1997 from Moscow Institute of Physics and Technology (MIPT), Department of Control and Applied Mathematics. He received his PhD degree in 1999 from Dorodnicyn Computing Centre of RAS. Since 2003 he works in Dorodnicyn Computing Centre of Russian Academy of Sciences, where he has a position of Head of Department of Intellectual Control Systems. He is also a researcher in Iritech Inc., developing the algorithms of iris and face recognition. He has got more then 30 publications in image processing and pattern recognition.
Vladimir A. Knyaz (born in 1957) received his MS degree in 1980 from Moscow Institute of Physics and Technology (MIPT), Department of Flying Machines. Since 1980 he works in State Research Institute of Aviation System. He is a head of Digital Photogrammetry and Virtual Reality laboratory. He has got more then 80 publications in digital photogrammetry, 3D reconstruction, image processing.
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Murynin, A.B., Knyaz, V.A. & Matveev, I.A. Applying computer stereovision algorithms to study of correlation between face asymmetry and human vision pathology. Pattern Recognit. Image Anal. 19, 679–686 (2009). https://doi.org/10.1134/S1054661809040178
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DOI: https://doi.org/10.1134/S1054661809040178