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Potential of SIFT, SURF, KAZE, AKAZE, ORB, BRISK, AGAST, an..:

, In: 2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET),

Khan Tareen, Shaharyar Ahmed ; Raza, Rana Hammad - p. 1-6 , 2023

Link: https://doi.org/10.1109/iCoMET57998.2023.10099250

RT 
T1 <cTitle>2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)</cTitle>: T1 <Title>Potential of SIFT, SURF, KAZE, AKAZE, ORB, BRISK, AGAST, and 7 More Algorithms for Matching Extremely Variant Image Pairs</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10099250&Exemplar=1&LAN=DE
				
A1 Khan Tareen, Shaharyar Ahmed
A1 Raza, Rana Hammad
YR 2023
K1 Visualization
K1 Image coding
K1 Feature detection
K1 Transform coding
K1 Detectors
K1 Feature extraction
K1 Computational efficiency
K1 SIFT
K1 SURF
K1 KAZE
K1 AKAZE
K1 ORB
K1 BRISK
K1 AGAST
K1 FAST
K1 MSER
K1 MSD
K1 GFTT
K1 Harris Corner Detector based GFTT
K1 Harris Laplace Detector
K1 Star Detector
K1 CenSurE
K1 SIFT Descriptor
K1 Edge Detectors
K1 Line Detectors
K1 FLANN
K1 K-D Trees
K1 Multi-Probe LSH
K1 Nearest Neighbors Distance Ratio
SP 1
OP 6
LK http://dx.doi.org/https://doi.org/10.1109/iCoMET57998.2023.10099250
DO https://doi.org/10.1109/iCoMET57998.2023.10099250
SF ELIB - SuUB Bremen

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