Year 2017, Volume 4 , Issue 1, Pages 8 - 16 2017-03-01

3D Documentation of Archaeological Excavations Using Image-Based Point Cloud

Umut Ovalı [1] , Dursun Zafer Şeker [2]


Rapid progress in digital technology enables us to create three-dimensional models using digital images. Low cost, time efficiency and accurate results of this method put to question if this technique can be an alternative to conventional documentation techniques, which generally are 2D orthogonal drawings. Accurate and detailed 3D models of archaeological features have potential for many other purposes besides geometric documentation. This study presents a recent image-based three-dimensional registration technique employed in 2013 at one of the ancient city in Turkey, using “Structure from Motion” (SfM) algorithms. A commercial software is applied to investigate whether this method can be used as an alternative to other techniques. Mesh model of the some section of the excavation section of the site were produced using point clouds were produced from the digital photographs. Accuracy assessment of the produced model was realized using the comparison of the directly measured coordinates of the ground control points with produced from model. Obtained results presented that the accuracy is around 1.3 cm.

3D Documentation, Photogrammetry, SfM
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Journal Section Research Articles
Authors

Author: Umut Ovalı
Institution: Istanbul Technical University, Civil Engineering Faculty, Department of Geomatics Engineering
Country: Turkey


Author: Dursun Zafer Şeker
Institution: Istanbul Technical University, Civil Engineering Faculty, Department of Geomatics Engineering
Country: Turkey


Dates

Publication Date : March 1, 2017

Bibtex @research article { ijegeo306487, journal = {International Journal of Environment and Geoinformatics}, issn = {}, eissn = {2148-9173}, address = {}, publisher = {Cem GAZİOĞLU}, year = {2017}, volume = {4}, pages = {8 - 16}, doi = {10.30897/ijegeo.306487}, title = {3D Documentation of Archaeological Excavations Using Image-Based Point Cloud}, key = {cite}, author = {Ovalı, Umut and Şeker, Dursun Zafer} }
APA Ovalı, U , Şeker, D . (2017). 3D Documentation of Archaeological Excavations Using Image-Based Point Cloud. International Journal of Environment and Geoinformatics , 4 (1) , 8-16 . DOI: 10.30897/ijegeo.306487
MLA Ovalı, U , Şeker, D . "3D Documentation of Archaeological Excavations Using Image-Based Point Cloud". International Journal of Environment and Geoinformatics 4 (2017 ): 8-16 <https://dergipark.org.tr/en/pub/ijegeo/issue/28173/306487>
Chicago Ovalı, U , Şeker, D . "3D Documentation of Archaeological Excavations Using Image-Based Point Cloud". International Journal of Environment and Geoinformatics 4 (2017 ): 8-16
RIS TY - JOUR T1 - 3D Documentation of Archaeological Excavations Using Image-Based Point Cloud AU - Umut Ovalı , Dursun Zafer Şeker Y1 - 2017 PY - 2017 N1 - doi: 10.30897/ijegeo.306487 DO - 10.30897/ijegeo.306487 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 8 EP - 16 VL - 4 IS - 1 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.306487 UR - https://doi.org/10.30897/ijegeo.306487 Y2 - 2016 ER -
EndNote %0 International Journal of Environment and Geoinformatics 3D Documentation of Archaeological Excavations Using Image-Based Point Cloud %A Umut Ovalı , Dursun Zafer Şeker %T 3D Documentation of Archaeological Excavations Using Image-Based Point Cloud %D 2017 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 4 %N 1 %R doi: 10.30897/ijegeo.306487 %U 10.30897/ijegeo.306487
ISNAD Ovalı, Umut , Şeker, Dursun Zafer . "3D Documentation of Archaeological Excavations Using Image-Based Point Cloud". International Journal of Environment and Geoinformatics 4 / 1 (March 2017): 8-16 . https://doi.org/10.30897/ijegeo.306487
AMA Ovalı U , Şeker D . 3D Documentation of Archaeological Excavations Using Image-Based Point Cloud. International Journal of Environment and Geoinformatics. 2017; 4(1): 8-16.
Vancouver Ovalı U , Şeker D . 3D Documentation of Archaeological Excavations Using Image-Based Point Cloud. International Journal of Environment and Geoinformatics. 2017; 4(1): 16-8.