Title page for etd-0718116-085104


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URN etd-0718116-085104
Author Chia-lun Ho
Author's Email Address calvin8132810@gmail.com
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Department Computer Science and Engineering
Year 2015
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Computer Vision Software and Hardware Design Based on OpenVX
Date of Defense 2016-07-26
Page Count 79
Keyword
  • FPGA
  • Zedboard
  • computer vision
  • OpenVX
  • embedded system
  • face motion simulation
  • Abstract OpenVX, an open, royalty-free, cross-platform standard, can be used to speed up computer vision applications in embedded systems. It can achieve performance and power-optimized processing of computer vision, including facial, body and gesture tracking, intelligent video surveillance, advanced driver assistance systems (ADAS) and augmented reality on real-time embedded systems. In this thesis, we investigates the contents of OpenVX specification and develop an OpenVX based computer vision algorithm for face detection and gesture tracking. FPGA implementation of hardware and software co-operation is also demonstrated where the color-to-intensity conversion is executed in hardware. It is shown that the performance of the system can be enhanced without increasing too much hardware costs.
    Advisory Committee
  • Chung-Ho Chen - chair
  • Yun-Nan Chang - co-chair
  • Shiann-Rong Kuang - co-chair
  • Kun-Chih Chen - co-chair
  • Shen-Fu Hsiao. - advisor
  • Files
  • etd-0718116-085104.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2016-08-18

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