Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/111
Title: | GEOREFERENCING AND REPROJECTION ERROR INVESTIGATION ON IMAGE BASED 3D DIGITIZATION AND MAPPING OF HISTORICAL BUILDINGS | Authors: | Altuntaş, Cihan | Keywords: | Dense Point Cloud Reprojection Error Georeferencing Accuracy Sequential Image Orientation |
Issue Date: | 2019 | Publisher: | COPERNICUS GESELLSCHAFT MBH | Abstract: | Image based dense point cloud creation is easy and low-cost application for three dimensional digitization of small and large scale objects and surfaces. It is especially attractive method for cultural heritage documentation. Reprojection error on conjugate keypoints indicates accuracy of the model and keypoint localisation in this method. In addition, sequential registration of the images from large scale historical buildings creates big cumulative registration error. Thus, accuracy of the model should be increased with the control points or loop close imaging The registration of point point cloud model into the georeference system is performed using control points. In this study historical Sultan Selim Mosque that was built in sixteen century by Great Architect Sinan was modelled via photogrammetric dense point cloud. The reprojection error and number of keypoints were evaluated for different base/length ratio. In addition, georeferencing accuracy was evaluated with many configuration of control points with loop and without loop closure imaging. | Description: | 2nd International Conference of Geomatics and Restoration (GEORES) -- MAY 08-10, 2019 -- Milan, ITALY | URI: | https://doi.org/10.5194/isprs-archives-XLII-2-W11-71-2019 https://hdl.handle.net/20.500.13091/111 |
ISSN: | 1682-1750 2194-9034 |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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File | Size | Format | |
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isprs-archives-XLII-2-W11-71-2019.pdf | 2.27 MB | Adobe PDF | View/Open |
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