MODELS OF OBJECT DESCRIPTION AND RELIABILITY OF IDENTIFICATION FOR AN APPLICATION OF COMPUTER VISION
DOI:
https://doi.org/10.15587/1729-4061.2010.3015Keywords:
recognition of the person, identification, analysis of images of persons, method Viola-Jones, image preprocessing, RGB, YCbCr, method of local binary patternsAbstract
Methods of identifying individuals and personal identification in computer vision systems which is based on Viola-Jones method using preprocessing for improving the performance of face detection with limited computational resources, and method of local binary pattern using modified histogram sector for improving the reliability of identification are formed in the article.References
- Распознавание образов мобильным роботом [Електронний документ]. Режим доступу: http://www.ampersant. ru/glaz/. Перевірено: 13.04.2010.
- Viola P., Jones M. Robust Real-Time Face Detection. // International Journal of Computer Vision. – 2004. – №57(2). – С. 137-154.
- Кудряшов П.П. Алгоритмы обнаружения лица человека для решения прикладных задач анализа и обработки изображения. // ВГТУ. – 2007. – С. 23.
- Петрашко А.А. Сегментация в контексте задачи обнаружения лиц на изображении. // Доклады ТУСУРа. – 2007. – №2(16). – С. 129-133.
- Face Detection processing by Ali Tavakoli [Електронний документ]. Режим доступу: http://www.codeproject.com/KB/cs/Face_ Detection_processing.aspx. Перевірено: 22.04.2010.
- Маслій Р.В. Використання локальних бінарних шаблонів для розпізнавання облич на напівтонових зображеннях. //Наукові праці ВНТУ.– 2008.– №4.– С.1-6.
- Merkmale eines schonen Gesichts [Електронний документ]. Режим доступу: http://www.beautycheck.de/cmsms/index.php/merkmale- schoener-gesichter. Перевірено: 22.03.2010.
- The Database of Faces [Електронний документ]. Режим доступу: http://www.cl. cam.ac.uk/research/dtg/attarchive/facedatabase. html. Перевірено: 20.02.2010.
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