@inproceedings{cd53133e53e44dafbedbb285de7baffe,
title = "Real time depth measurement using FPGA",
abstract = "In this work, the proposed method is real-time object depth measurement using FPGA. It based on the distance between the corners of the object. Depth measurements are generated in the Corner Detected image. In the proposed method, the corner detected from the input received from the camera is used as a template. The distance between the detected corners is calculated and the depth is measured. A real-time system that is implemented on Xilinx Virtex5 XC5LVX330 Field Programmable Gate Array (FPGA) hardware. Architecture is designed using Verilog hardware description language (Verilog HDL). FPGA receives the VGA (640×480) image from the camera using the STC-MC33CL and transmits the corresponding depth image to the monitor using the HDMI interface in real time.",
keywords = "Canny Filter, Corner image, Depth measurement, Real-time hardware architecture",
author = "Dajin Lee and Hyunbin Joo and Jeon, \{Jae Wook\}",
note = "Publisher Copyright: {\textcopyright} 2017 Institute of Control, Robotics and Systems - ICROS.; 17th International Conference on Control, Automation and Systems, ICCAS 2017 ; Conference date: 18-10-2017 Through 21-10-2017",
year = "2017",
month = dec,
day = "13",
doi = "10.23919/ICCAS.2017.8204287",
language = "English",
series = "International Conference on Control, Automation and Systems",
publisher = "IEEE Computer Society",
pages = "494--497",
booktitle = "ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings",
}