A visual-based tourism assistant system (Server and algorithm part)

This project is a joint Final Year Project conducted by Zhou Xinzi and me. It aims to build a visual-based tourism assistant system. The system is designed for mobile phones or wearable devices, such as see-through glasses, and the core functionalities are locating the user using video stream from d...

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Main Author: Chen, Liyang
Other Authors: Cai Jianfei
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66892
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-668922023-03-03T20:46:25Z A visual-based tourism assistant system (Server and algorithm part) Chen, Liyang Cai Jianfei School of Computer Engineering DRNTU::Engineering This project is a joint Final Year Project conducted by Zhou Xinzi and me. It aims to build a visual-based tourism assistant system. The system is designed for mobile phones or wearable devices, such as see-through glasses, and the core functionalities are locating the user using video stream from device camera and marking surrounding objects. We investigated several types of image features and image-based localization algorithms. On top of researches by Rapid-Rich Object Search (ROSE) Lab and researches on image- based indoor localization by Tao Qingyi in her final year project, the system uses a client-server model and Compact Descriptor for Visual Search (CDVS) solution from ROSE Lab. We explored various system architectures and object recognition strategies. We took 1326 images at NTU campus as our dataset for testing and archived good accuracy for localization and object recognition. We also profiled our system on aspects of speed, memory and network, and the results show that our system is good for the mobile platform. In addition, the system provides good user experience. Bachelor of Engineering (Computer Engineering) 2016-05-04T01:11:23Z 2016-05-04T01:11:23Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66892 en Nanyang Technological University 47 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
spellingShingle DRNTU::Engineering
Chen, Liyang
A visual-based tourism assistant system (Server and algorithm part)
description This project is a joint Final Year Project conducted by Zhou Xinzi and me. It aims to build a visual-based tourism assistant system. The system is designed for mobile phones or wearable devices, such as see-through glasses, and the core functionalities are locating the user using video stream from device camera and marking surrounding objects. We investigated several types of image features and image-based localization algorithms. On top of researches by Rapid-Rich Object Search (ROSE) Lab and researches on image- based indoor localization by Tao Qingyi in her final year project, the system uses a client-server model and Compact Descriptor for Visual Search (CDVS) solution from ROSE Lab. We explored various system architectures and object recognition strategies. We took 1326 images at NTU campus as our dataset for testing and archived good accuracy for localization and object recognition. We also profiled our system on aspects of speed, memory and network, and the results show that our system is good for the mobile platform. In addition, the system provides good user experience.
author2 Cai Jianfei
author_facet Cai Jianfei
Chen, Liyang
format Final Year Project
author Chen, Liyang
author_sort Chen, Liyang
title A visual-based tourism assistant system (Server and algorithm part)
title_short A visual-based tourism assistant system (Server and algorithm part)
title_full A visual-based tourism assistant system (Server and algorithm part)
title_fullStr A visual-based tourism assistant system (Server and algorithm part)
title_full_unstemmed A visual-based tourism assistant system (Server and algorithm part)
title_sort visual-based tourism assistant system (server and algorithm part)
publishDate 2016
url http://hdl.handle.net/10356/66892
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