Ismail Elkhrachy (2019) Modeling and Visualization of Three Dimensional Objects Using Low-Cost Terrestrial Photogrammetry, International Journal of Architectural Heritage, DOI: 10.1080/15583058.2019.1613454
Ismail Elkhrachy (2019) Modeling and Visualization of Three Dimensional Objects Using Low-Cost Terrestrial Photogrammetry, International Journal of Architectural Heritage, DOI: 10.1080/15583058.2019.1613454
Ismail Elkhrachy (2019) Modeling and Visualization of Three Dimensional Objects Using Low-Cost Terrestrial Photogrammetry, International Journal of Architectural Heritage, DOI: 10.1080/15583058.2019.1613454
Ismail Elkhrachy (2019) Modeling and Visualization of Three Dimensional Objects Using Low-Cost Terrestrial Photogrammetry, International Journal of Architectural Heritage, DOI: 10.1080/15583058.2019.1613454
Abstract
This paper analyses and evaluate the precision and the accuracy the capability of low-cost terrestrial photogrammetry by using many digital cameras to construct a 3D model of an object. To obtain the goal, a building façade has imaged by two inexpensive digital cameras such as Canon and Pentax camera. Bundle adjustment and image processing calculated by using Agisoft PhotScan software. Several factors will be included during this study, different cameras, and control points. Many photogrammetric point clouds will be generated. Their accuracy will be compared with some natural control points which collected by the laser total station of the same building. The cloud to cloud distance will be computed for different comparison 3D models to investigate different variables. The practical field experiment showed a spatial positioning reported by the investigated technique was between 2-4cm in the 3D coordinates of a façade. This accuracy is optimistic since the captured images were processed without any control points.
Keywords
Terrestrial photogrammetry, 3D reconstruction, Low-cost technology, 3D model, bundle adjustment, Agisoft PhotoScan, C2C
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
