An Improved Randomized Local Binary Features for Keypoints Recognition

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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Bibliographic Details
Main Authors: Jinming Zhang, Zuren Feng, Jinpeng Zhang, Gang Li
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
binary feature
keypoints recognition
random ferns
random forests
ORB
SIFT
Online Access:http://www.mdpi.com/1424-8220/18/6/1937

Internet

http://www.mdpi.com/1424-8220/18/6/1937

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