Research Article
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Parametric Architectural Elements from Point Clouds for HBIM Applications

Year 2021, Volume: 8 Issue: 2, 144 - 149, 15.06.2021
https://doi.org/10.30897/ijegeo.803334

Abstract

To preserve tangible cultural assets for the future, it is crucial to make sure that the maintenance, repair, and restoration of these buildings are of high quality. To ensure proper cultural heritage preservation, highly accurate measurement and modelling methods are necessary. For this purpose, laser scanner systems are widely used; without any doubt, these systems provide many advantages over conventional measuring techniques. On the other hand, the scan angle, the distance to the object, the object’s material composition, the atmospheric conditions, as well as obstacles between the scanner and objects, can cause gaps or noise in the point clouds, making it challenging to manage and interpret the resulting datasets. Thus, extracting the geometries of architectural façade elements from these point clouds is often tedious and requires a high level of expertise. Projects utilizing Building Information Modelling (BIM) Systems have recently begun in Turkey. Although this technology is generally applied to address the whole life cycle of new buildings beginning with the design stage, it is necessary to define existing structures in this system. In this context, research-development and practices related to tangible cultural assets are carried out under the name of the Historic Building Information System (HBIM). In our study, we create parametric models that needed for transferring the cultural assets, which subject to deformation over years. A semi-automatic methodology based on the RANSAC algorithm was applied to extract geometry from point cloud data that contains noise. The obtained model was transferred to BIM following IFC standards. Şehzade Mosque, built by Mimar Sinan in the 16th century Ottoman Classical Period during the reign of Sultan Suleyman the Magnificent, was chosen as the application area of the study. The architectural elements obtained from the application of the current point clouds were compared with the existing architectural drawings, and the contributions of the study were evaluated.

Supporting Institution

Istanbul Technical University Scientific Research Office (BAP)

Project Number

37044

Thanks

TLS point clouds were provided by Istanbul Metropolitan Municipality for the purpose of this research project.

References

  • Arayici, Yusuf, John, Counsell, Lamine, Mahdjoubi, Gehan, Nagy, Suhayr Z., Ḥawwās, Khaled, Dweidar, ed. 2017. Heritage Building Information Modelling. 1st. New York, NY: Routledge.
  • Arayici, Yusuf. 2008. “Towards Building Information Modeling for Existing Structures.” Structural Survey 26 (3): 210–22. doi:10.1108/02630800810887108.
  • Barazzetti, Luigi, Fabrizio Banfi, Raffaella Brumana, Gaia Gusmeroli, Mattia Previtali, and Giuseppe Schiantarelli. 2015. “Cloud-to-BIM-to-FEM: Structural Simulation with Accurate Historic BIM from Laser Scans.” Simulation Modeling Practice and Theory. doi:10.1016/j.simpat.2015.06.004.
  • Bruno, Silvana, Mariella De Fino, and Fabio Fatiguso. 2018. “Historic Building Information Modelling: Performance Assessment for Diagnosis-Aided Information Modeling and Management.” Automation in Construction. doi:10.1016/j.autcon.2017.11.009.
  • Chiabrando, F., M. Lo Turco, and F. Rinaudo. 2017. “Modeling the Decay in an HBIM Starting From 3D Point Clouds. a Followed Approach for Cultural Heritage Knowledge.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (September): 605–12. doi:10.5194/isprs-archives-XLII-2-W5-605-2017
  • Demir, İlke. 2017. “A Generalized Proceduralization Framework For Urban Models With Applications In Procedural Modeling, Synthesis, And Reconstruction.” Purdue University.
  • Fischler, Martin A., and Robert C. Bolles. 1981. “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.” Communications of the ACM 24 (6): 381–95. doi:10.1145/358669.358692.
  • Hartley, Richard, and Andrew Zisserman. 2004. Multiple View Geometry in Computer Vision, 2nd Ed. Cambridge UK Cambridge Univ Press.
  • Kivilcim, C., and Z. Duran. 2016. “A Semi- Automated Point Cloud Processing Methodology for 3D Cultural Heritage Documentation.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 41 (July): 293–96. doi:10.5194/isprsarchives-XLI-B5-293-2016.
  • Kıvılcım, Cemal Özgür. 2009. “Taşınmaz Kültür Varlıklarının Belgelendirilmesinde Jeomekansal Veri/Bilgi Yönetimi.” Istanbul Technical University.
  • Murphy, M, A Corns, J Cahill, K Eliashvili, A Chenau, C Pybus, R Shaw, G Devlin, A Deevy, and L Truong-Hong. 2017. “Developing Historic Building Information Modeling Guidelines and Procedures for Architectural Heritage in Ireland” XLII (September): 539–46. doi:10.5194/isprs-archives-XLII-2-W5-539-2017.
  • Murphy, Maurice, Eugene McGovern, and Sara Pavia. 2009. “Historic Building Information Modeling (HBIM).” Structural Survey 27 (4). Emerald Group Publishing Limited: 311–27. doi:10.1108/02630800910985108.
Year 2021, Volume: 8 Issue: 2, 144 - 149, 15.06.2021
https://doi.org/10.30897/ijegeo.803334

Abstract

Project Number

37044

References

  • Arayici, Yusuf, John, Counsell, Lamine, Mahdjoubi, Gehan, Nagy, Suhayr Z., Ḥawwās, Khaled, Dweidar, ed. 2017. Heritage Building Information Modelling. 1st. New York, NY: Routledge.
  • Arayici, Yusuf. 2008. “Towards Building Information Modeling for Existing Structures.” Structural Survey 26 (3): 210–22. doi:10.1108/02630800810887108.
  • Barazzetti, Luigi, Fabrizio Banfi, Raffaella Brumana, Gaia Gusmeroli, Mattia Previtali, and Giuseppe Schiantarelli. 2015. “Cloud-to-BIM-to-FEM: Structural Simulation with Accurate Historic BIM from Laser Scans.” Simulation Modeling Practice and Theory. doi:10.1016/j.simpat.2015.06.004.
  • Bruno, Silvana, Mariella De Fino, and Fabio Fatiguso. 2018. “Historic Building Information Modelling: Performance Assessment for Diagnosis-Aided Information Modeling and Management.” Automation in Construction. doi:10.1016/j.autcon.2017.11.009.
  • Chiabrando, F., M. Lo Turco, and F. Rinaudo. 2017. “Modeling the Decay in an HBIM Starting From 3D Point Clouds. a Followed Approach for Cultural Heritage Knowledge.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (September): 605–12. doi:10.5194/isprs-archives-XLII-2-W5-605-2017
  • Demir, İlke. 2017. “A Generalized Proceduralization Framework For Urban Models With Applications In Procedural Modeling, Synthesis, And Reconstruction.” Purdue University.
  • Fischler, Martin A., and Robert C. Bolles. 1981. “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.” Communications of the ACM 24 (6): 381–95. doi:10.1145/358669.358692.
  • Hartley, Richard, and Andrew Zisserman. 2004. Multiple View Geometry in Computer Vision, 2nd Ed. Cambridge UK Cambridge Univ Press.
  • Kivilcim, C., and Z. Duran. 2016. “A Semi- Automated Point Cloud Processing Methodology for 3D Cultural Heritage Documentation.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 41 (July): 293–96. doi:10.5194/isprsarchives-XLI-B5-293-2016.
  • Kıvılcım, Cemal Özgür. 2009. “Taşınmaz Kültür Varlıklarının Belgelendirilmesinde Jeomekansal Veri/Bilgi Yönetimi.” Istanbul Technical University.
  • Murphy, M, A Corns, J Cahill, K Eliashvili, A Chenau, C Pybus, R Shaw, G Devlin, A Deevy, and L Truong-Hong. 2017. “Developing Historic Building Information Modeling Guidelines and Procedures for Architectural Heritage in Ireland” XLII (September): 539–46. doi:10.5194/isprs-archives-XLII-2-W5-539-2017.
  • Murphy, Maurice, Eugene McGovern, and Sara Pavia. 2009. “Historic Building Information Modeling (HBIM).” Structural Survey 27 (4). Emerald Group Publishing Limited: 311–27. doi:10.1108/02630800910985108.
There are 12 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Cemal Özgür Kıvılcım 0000-0001-5180-5288

Zaide Duran 0000-0002-1608-0119

Project Number 37044
Publication Date June 15, 2021
Published in Issue Year 2021 Volume: 8 Issue: 2

Cite

APA Kıvılcım, C. Ö., & Duran, Z. (2021). Parametric Architectural Elements from Point Clouds for HBIM Applications. International Journal of Environment and Geoinformatics, 8(2), 144-149. https://doi.org/10.30897/ijegeo.803334