Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 293-296, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-293-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
15 Jun 2016
A SEMI-AUTOMATED POINT CLOUD PROCESSING METHODOLOGY FOR 3D CULTURAL HERITAGE DOCUMENTATION
C. Ö. Kıvılcım and Z. Duran ITU, Civil Engineering Faculty, Dept. of Geomatics Engineering Maslak Istanbul, Turkey
Keywords: Cultural Heritage Documentation, Laser Scanning, Point Clouds, Algorithms, Open Source Programming, BIM Abstract. The preliminary phase in any architectural heritage project is to obtain metric measurements and documentation of the building and its individual elements. On the other hand, conventional measurement techniques require tremendous resources and lengthy project completion times for architectural surveys and 3D model production. Over the past two decades, the widespread use of laser scanning and digital photogrammetry have significantly altered the heritage documentation process. Furthermore, advances in these technologies have enabled robust data collection and reduced user workload for generating various levels of products, from single buildings to expansive cityscapes. More recently, the use of procedural modelling methods and BIM relevant applications for historic building documentation purposes has become an active area of research, however fully automated systems in cultural heritage documentation still remains open. In this paper, we present a semi-automated methodology, for 3D façade modelling of cultural heritage assets based on parametric and procedural modelling techniques and using airborne and terrestrial laser scanning data. We present the contribution of our methodology, which we implemented in an open source software environment using the example project of a 16th century early classical era Ottoman structure, Sinan the Architect’s Şehzade Mosque in Istanbul, Turkey.
Conference paper (PDF, 1543 KB)


Citation: Kıvılcım, C. Ö. and Duran, Z.: A SEMI-AUTOMATED POINT CLOUD PROCESSING METHODOLOGY FOR 3D CULTURAL HERITAGE DOCUMENTATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 293-296, https://doi.org/10.5194/isprs-archives-XLI-B5-293-2016, 2016.

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