Local Binary Pattern Circuit Generator with Adjustable Parameters for Feature Extraction

  • 黃 傑翔

Student thesis: Doctoral Thesis


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 a hardware architecture is needed to disperse CPU burden and to improve the entire object detection performance In this thesis a hardware implementation of an approximated LBP method with adjustable parameters is introduced For simulation Taiwan Semiconductor Manufacturing Company 0 18} micrometer technology is used to implement the LBP hardware in which the hardware can achieve 500 MHz with lower gate count than the previous study The proposed LBP circuit is applied to the pedestrian classification application and the evaluation results show that the approximated LBP values generated by our circuit can achieve comparable classification accuracy with the primitive LBP method Additionally the proposed LBP hardware provides adjustable parameters to fit different applications while requires fewer hardware costs as compared with the existing work
Date of Award2018 Sep 1
Original languageEnglish
SupervisorPei-Yin Chen (Supervisor)

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