Comparison of binary feature points descriptors of images under distortion conditions

Comparison of binary feature points descriptors of images under distortion conditions

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 performe...

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Veröffentlicht in:Kompʹûternaâ optika 2019-06, Vol.43 (3), p.434-445
Hauptverfasser: Krasnabayeu, E.A., Chistabayeu, D.V., Malyshev, A.L.
Format: Artikel
Sprache:eng
Schlagworte:
digital image processing
feature description
feature detection
feature matching
image analysis
pattern recognition
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Beschreibung
Zusammenfassung: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.
ISSN:0134-2452
2412-6179
DOI:10.18287/2412-6179-2019-43-3-434-445