Analysis of the Accuracy of Emerging Consumer Photogrammetry Techniques

Lamont, Julian (2017) Analysis of the Accuracy of Emerging Consumer Photogrammetry Techniques. [USQ Project]


This project is focused on the accuracy of consumer level photogrammetry as it is accessible, it can yield extremely accurate results and it can potentially be done on a low budget. While there has been some research on the accuracy of photogrammetry, it is largely focused on large format or professional photography and expensive software programs.

Current developments such as high resolution smart phone cameras and photogrammetry software that doesn’t require camera calibration have improved accessibility to photogrammetry and have the potential to supplement current measurement techniques, but their accuracy is unclear. By analysing the accuracy of the result from a smartphone camera and Autodesk ReMake, there is potential to unlock a cheap and accessible scanning solution.

To test the accuracy of the photogrammetry technique a test environment was captured using ideal photogrammetry technique and compared against high quality total station control data. This was analysed for point accuracy, point to point accuracy and feature detail identification and detail modelling. As the best case was established, the steps required capturing and processing the scene were reduced to try to make the process as accessible as possible.

The project has established that it is possible to get a high quality result from a smartphone camera and ReMake, but you still need an understanding of your individual equipment and good photogrammetry technique. The data can quickly degrade and not even register if you aren’t aware of the limitations of phone cameras and the software. As the accuracy of the processed mesh is heavily reliant on the photograph quality, the user must be aware of smartphone’s susceptibility to low light conditions and limitations in controlling reflective surfaces. Following certain rules such as placement of targets or landmarks and redundancy of data are also paramount to the success, but at the same time limit the ability to utilize this technology.

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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 Kon-Fook
Date Deposited: 09 Sep 2021 03:58
Last Modified: 09 Sep 2021 03:58

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