This thesis presents the findings of a comparison between the results presented by Gabriel Scarmana at the 2010 Fèdèration Internationale des Gèometres (FIG) and the results of an independent test. It is to be determined if Scarmana’s presented results of using close range photogrammetry to traverse around buildings can be successfully replicated by an inexperienced user.
Experimental procedures were kept constant where possible to maintain consistency and the same software program, Photomodeler Pro, was used for processing. An increase in the quality of camera was one change to the project parameters, it was anticipated this would improve positional accuracy.
Over a distance of 140m, 52 photographs were taken and 284 reference points were identified and processed. Upon completion of the traverse the largest positional error was calculated to be 0.651m from the coordinates measured using traditional surveying methods. This error occurred at the furthest point from the origin. The traverse was reprocessed as an incomplete loop with the positional errors increasing to over 2 m. From this it was determined that a closed loop provides considerably more accurate positional results.
The 0.651 m positional error over 140 m is significantly better than that suggested by Scarmana (1m error for every 150 m of traverse). This improvement in accuracy is believed to be due to the higher quality camera used in this project
From the results obtained in this thesis it can be concluded that Scarmana’s results can be reproduced by an inexperienced user to a similar standard. Several areas of potential improvement to the method were identified including: the use of portable targets; investigating the affect of angle geometry on positional accuracy; and the use of more control points to improve three dimensional accuracy.