Implementing computer vision on FPGA

Computer Vision is a field where vision sensors capture physical world information,which are then processed by computers to obtain the knowledge of the physical world. Vision sensors vary from ultrasonic sensors to cameras, while the knowledge of the physical world ranges from object d...

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Main Author: Liu, Yosua
Other Authors: Lam Siew Kei
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77178
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-771782023-03-03T20:54:32Z Implementing computer vision on FPGA Liu, Yosua Lam Siew Kei School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Computer Vision is a field where vision sensors capture physical world information,which are then processed by computers to obtain the knowledge of the physical world. Vision sensors vary from ultrasonic sensors to cameras, while the knowledge of the physical world ranges from object detection & recognition to motion tracking. There are several processing techniques employed in Computer Vision, such as CNN and Image Processing. To date, CNN is the most popular technique used and this make CNN hardware implementation of interest. This report discusses the implementation of CNN methods in FPGA. Bachelor of Engineering (Computer Engineering) 2019-05-15T04:53:55Z 2019-05-15T04:53:55Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77178 en Nanyang Technological University 75 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Liu, Yosua
Implementing computer vision on FPGA
description Computer Vision is a field where vision sensors capture physical world information,which are then processed by computers to obtain the knowledge of the physical world. Vision sensors vary from ultrasonic sensors to cameras, while the knowledge of the physical world ranges from object detection & recognition to motion tracking. There are several processing techniques employed in Computer Vision, such as CNN and Image Processing. To date, CNN is the most popular technique used and this make CNN hardware implementation of interest. This report discusses the implementation of CNN methods in FPGA.
author2 Lam Siew Kei
author_facet Lam Siew Kei
Liu, Yosua
format Final Year Project
author Liu, Yosua
author_sort Liu, Yosua
title Implementing computer vision on FPGA
title_short Implementing computer vision on FPGA
title_full Implementing computer vision on FPGA
title_fullStr Implementing computer vision on FPGA
title_full_unstemmed Implementing computer vision on FPGA
title_sort implementing computer vision on fpga
publishDate 2019
url http://hdl.handle.net/10356/77178
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