A comparison of mobile phone 3D images and total station data for spatial interpretation of structures

Dark, Michael (2017) A comparison of mobile phone 3D images and total station data for spatial interpretation of structures. [USQ Project]


Abstract

Electronic distance measuring (EDM) devices, whether the common total station or laser scanners, are industry standard instruments used to obtain point data of structures or environments. Photogrammetry, a process of obtaining measurements from photographs has long been used primarily in large scale aerial surveys using high end cameras. The digital era has seen great advancements in this field whereby software packages allow for complete automation of 3D modelling through point generation from digital imagery. Also, digital cameras are becoming so compact they now come standard in mobile phones.

3D Point data from either technology is then used to generate plans and models and allows for spatial analysis and calculations to be performed. It is the purpose of this dissertation to compare the two methods.

EDM devices are both highly accurate and expensive, requiring specialty expertise in their application and post processing procedures. A camera equipped mobile phone on the other hand, is almost certainly a possession of most people. To what extent can they be used in surveying and could they potentially replace EDM devices for particular applications?

Three case studies chosen to simulate places and objects commonly surveyed were captured using both a total station and a mobile phone camera. The data was then used to generate 3D models from which an analysis was performed to determine differences in the object interpretation from the two data sets.

Two of the case studies have proven that mobile phone 3D imagery can be used to collect and interpret spatial data for particular applications. However, the third case proves that various environmental factors can be detrimental to the end product. This research project suggests that the use of 3D models produced using mobile phones is dependent on required accuracies.


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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Spatial Science (Honours) (Surveying)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Supervisors: Chong, Albert
Date Deposited: 07 Sep 2022 05:02
Last Modified: 07 Sep 2022 05:02
Uncontrolled Keywords: Electronic distance measuring (EDM) devices; 3D Point data
URI: https://sear.unisq.edu.au/id/eprint/40868

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