An Improved Randomized Local Binary Features for Keypoints Recognition

In this paper, we carry out researches on randomized local binary features. Randomized local binary features have been used in many methods like RandomForests, RandomFerns, BRIEF, ORB and AKAZE to matching keypoints. However, in those existing methods, the randomness of feature operators only reflec...

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Detalles Bibliográficos
Autores principales: Zhang, Jinming, Feng, Zuren, Zhang, Jinpeng, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022117/
https://www.ncbi.nlm.nih.gov/pubmed/29904005
http://dx.doi.org/10.3390/s18061937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022117/
https://www.ncbi.nlm.nih.gov/pubmed/29904005
http://dx.doi.org/10.3390/s18061937

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