Comparison of binary feature points descriptors of images under distortion conditions
Автор: Krasnabayeu Eugene Alexeevich, Chistabayeu Dmitriy Victorovich, Malyshev Alexey Leonidovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 3 т.43, 2019 года.
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The article is devoted to the review and analysis of binary descriptors of feature points of objects in digital images under distortion conditions. An overview of the BRIEF, ORB, BRISK, FREAK, AKAZE, LATCH methods is given. The evaluation of properties of the descriptors on sample images is performed. The paper addresses problems of using these methods for real time image processing.
Digital image processing, pattern recognition, image analysis, feature detection, feature description, feature matching
Короткий адрес: https://sciup.org/140246471
IDR: 140246471 | DOI: 10.18287/2412-6179-2019-43-3-434-445
