Local Binary Pattern Circuit Generator With Adjustable Parameters for Feature Extraction

@article{Hu2018LocalBP,
  title={Local Binary Pattern Circuit Generator With Adjustable Parameters for Feature Extraction},
  author={Min-Chun Hu and Kiat Siong Ng and Pei-Yin Chen and Yu-Jung Hsiao and Cheng-Hsien Li},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2018},
  volume={19},
  pages={2582-2591}
}
In the field of computer vision, local binary pattern (LBP) is one of the most popular feature extraction method and has been used in many object detection frameworks. To efficiently extract LBP features in high-resolution images, hardware architecture is needed to disperse CPU burden and to improve the entire object detection performance. In this paper, a hardware implementation of an approximated LBP method with adjustable parameters is introduced. For simulation, Taiwan Semiconductor… CONTINUE READING

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