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dc.contributor.advisor Perera I
dc.contributor.author Rathnayake DCK
dc.date.accessioned 2020
dc.date.available 2020
dc.date.issued 2020
dc.identifier.uri http://dl.lib.uom.lk/handle/123/16496
dc.description.abstract The proposed research has been done as an extended version of the research named “A Framework for Mixed Reality Application Development: A Case Study on Yapahuwa Archaeological Site” which was done by Amodth Jayawardena. The above research implemented a proper framework for developing augmented reality applications. The researcher has planned to implement a working model of the above project in Yapuhuwa Archaeological site. However, still, there is a problem in implementing this project in real-life situations. That is because of non-accurate location data. Although the technology today has improved, GPS technology still doesn’t accurately offer the exact location data. Therefore, when a user tries to use the above-mentioned AR application on his/her mobile, the virtual graphics generated for that location may get inaccurate because of the slight GPS location data fluctuations. However, we can improve the accuracy of the inbuilt GPS data of a mobile phone using third party devices, which are expensive. The proposed solution implemented in this is based on giving a solution to find the most accurate geographic locations for augmented reality applications. Since improving location data accuracy using third party devices is not practical in an implementation environment like Yapahuwa this research paper focused on getting the exact location using image processing technology and mobile phone’s sensor data (when needed). An image file system is maintained separately for implementing the system. As an example, when the research is implemented in the real world it can identify and generate the graphic image to the relevant location when a user aims his/her mobile phone to an archaeological place. The technology used in the research can be implemented in many other industries for purposes like Google Maps in the future. en_US
dc.language.iso en en_US
dc.subject COMPUTER SCIENCE – Dissertations en_US
dc.subject COMPUTER SCIENCE AND ENGINEERING - Dissertations en_US
dc.subject MOBILE PHONES – Geo-location en_US
dc.subject VISUAL OBJECT RECOGNITION en_US
dc.subject IMAGE PROCESSING TECHNOLOGY en_US
dc.subject MOBILE PHONES - GPS Technology en_US
dc.subject SMART PHONES - Location Detection en_US
dc.title Accurate location detection system for augmented reality application en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Computer Science and Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.date.accept 2020
dc.identifier.accno TH4297 en_US


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