FPGA Based Face Detection Using Local Ternary Pattern Under Variant Illumination Condition

  • Jin Young ByunEmail author
  • Jae Wook Jeon
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)


This paper presents the design and implementation of real-time face detection using Local Ternary Pattern (LTP). First, an input image is transferred by the Camlink interface and the image is then downscaled for face detection. A tree-structured cascade of classifiers is used for face detection. We implemented the proposed hardware architecture on a Xilinx Virtex-7 FPGA and the processing speed was adjusted to the frame rate of the camera. The size of the input images is 640 × 480 (VGA) and a larger size can be used without performance loss.


Face detection Local ternary pattern (LTP) 



This work was supported by the Samsung Research Funding Center of Samsung Electronics under Project Number SRFC-IT1402-12.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Information and Communication EngineeringSungkyunkwan UniversitySuwonKorea

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