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RSS FeedsSensors, Vol. 19, Pages 2315: An Efficient and Geometric-Distortion-Free Binary Robust Local Feature (Sensors)

 
 

20 may 2019 17:02:31

 
Sensors, Vol. 19, Pages 2315: An Efficient and Geometric-Distortion-Free Binary Robust Local Feature (Sensors)
 




An efficient and geometric-distortion-free approach, namely the fast binary robust local feature (FBRLF), is proposed. The FBRLF searches the stable features from an image with the proposed multiscale adaptive and generic corner detection based on the accelerated segment test (MAGAST) to yield an optimum threshold value based on adaptive and generic corner detection based on the accelerated segment test (AGAST). To overcome the problem of image noise, the Gaussian template is applied, which is efficiently boosted by the adoption of an integral image. The feature matching is conducted by incorporating the voting mechanism and lookup table method to achieve a high accuracy with low computational complexity. The experimental results clearly demonstrate the superiority of the proposed method compared with the former schemes regarding local stable feature performance and processing efficiency.


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36 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 19, Pages 2316: Simple Reconfigurable Circularly Polarized Antenna at Three Bands (Sensors)
Sensors, Vol. 19, Pages 2314: Erratum: Lou, X.; Jia, Z.; Yang, J.; Kasabov, N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors 2019, 19, 1179 (Sensors)
 
 
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