• Engineering, Medicine, Computer Science
  • Published in Sensors 2019
  • DOI:10.3390/s19102315

An Efficient and Geometric-Distortion-Free Binary Robust Local Feature

@inproceedings{Guo2019AnEA,
  title={An Efficient and Geometric-Distortion-Free Binary Robust Local Feature},
  author={Jing-Ming Guo and Li-Ying Chang and Jiann-Der Lee},
  booktitle={Sensors},
  year={2019}
}
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… CONTINUE READING

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