Abstract
The digital reconstruction of buildings is a hot topic in many fields, such as archeology, architecture, civil engineering, computer vision, computer graphics, surveying, photogrammetry and many more. A variety of approaches has been developed and is currently used, in parallel and independent from each other. This paper will bridge the gap between architectural computer graphics using just photos and photogrammetry and laser scanning, which uses digital imagery to get high density coloured point clouds for 3D modelling. It starts with the workflow of laser scanning and photogrammetry and finally delivers 3D Virtual Reality models of buildings. On the other hand, those buildings can be augmented with 3D models reconstructed from old photos using architectural computer graphics to reconstruct the past. The validation and the automation of workflows brings together both disciplines, which will definitely benefit from each other.
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Abdel-Wahab M, Wenzel K, Fritsch D (2011) Reconstruction of orientation and geometry from large unordered image datasets for low cost applications. Proceedings Workshop LC3D, Berlin
Abdel-Wahab M, Wenzel K, Fritsch D (2012) Automated and accurate orientation of large unordered image datasets for close-range cultural heritage data recording. Photogrammetrie – Fernerkundung – Geoinformation (PFG) 6:679–690
Brenner C, Haala N (1998) Fast production of virtual reality City models. Int Archives Photogramm Remote Sens 32(4):77–84
Bustamante A (2013) Digital preservation of the Calw market by means of automated HDS and photogrammetric texture mapping. Master’s Thesis, Univ. Stuttgart (not published)
Danahy J (1999) Visualization data needs in urban environmental planning and design. In: Fritsch D, Spiller R (eds) Photogrammetric Week ‘99. Wichmann, Heidelberg, pp 351–365
Debevec P (1996) Modeling and rendering architecture from photographs. PhD Thesis, Univ. Berkely
Farenzena M, Fusiello A, Gherardi R (2009) Structure and motion pipeline on a hierarchical cluster tree. ICCV Workshop on 3-D digital imaging and modeling, pp 1489–1496
Fritsch D (1999) Virtual cities and landscape models – what has photogrammetry to offer? In: Fritsch D, Spiller R (eds) Photogrammetric Week ‘99. Wichmann, Heidelberg, pp 3–14
Fritsch D (2016) Photogrammetrische Auswertung digitaler Bilder – Neue Methoden der Kamerakalibration, dichten Bildzuordnung und Interpretation von Punktwolken. In: Freeden W, Rummel R, Heipke C (eds) Handbuch der Geodaesie – Photogrammetrie und Fernerkundung. Springer, Berlin, 40p
Fritsch D, Becker S, Rothermel M (2013) Modeling facade structures using point clouds from dense image matching. Proceed. Intl. Conf. Advances in civil, structural and mechanical engineering. Inst. Research Eng. & Doctors, Hong Kong, pp 57–64
Gibson S, Cook J, Howard T, Hubbold R, Oram D (2002) Accurate camera calibration for off-line, video-based augmented reality. IEEE and ACM Int’l Symp. Mixed and augmented reality, pp 37-46
Gill L, Lange E (2015) Getting virtual 3D landscapes out of the lab. Comput Environ Urban Syst. doi:10.1016/j.compenvurbs.2015.09.012
Haala N, Kada M (2010) An update on automatic 3D building reconstruction. ISPRS J Photogramm Remote Sens 65:570–580
Hirschmueller H (2005) Accurate and efficient stereo processing by semi global matching and mutual information. Proceed. IEEE conference for computer vision and Pattern recognition, Vol. 2, pp. 807-814, San Diego, USA
Hirschmueller H (2008) Stereo processing by semi-global matching and mutual information. IEEE Trans Pattern Anal Mach Intell 30(2):328–341
itseez (2015) OpenCV – open source computer vision. Url: http://www.opencv.org
Kada M (2009) The 3D Berlin project. In: Fritsch D (ed) Photogrammetric Week ‘09. Wichmann, Heidelberg, pp 331–340
Klopschitz M, Irschara A, Reitmayr G, Schmalstieg D (2010) Robust incremental structure from motion. Proc. 3DPVT
Moussa W (2014) Integration of digital photogrammetry and terrestrial laser scanning for cultural heritage data recording. PhD Thesis, Inst. Photogrammetry, Univ. Stuttgart, Deutsche Geod. Komm., Series C, Munich. URL: http://www.ifp.uni-stuttgart.de/publications/dissertationen
Moussa W, Abdel-Wahab M, Fritsch D (2012) An automated procedure for combining digital images and laser scanner data. Int. archives of the photogrammetry, Remote Sensing and spatial information sciences, Vol. XXXIX-B5, 229-234.
Nistér D (2000) Reconstruction from uncalibrated sequences with a hierarchy of trifocal tensor. Proc. European Conf. Computer vision, pp 649-663
Photometrix (2015) Australis. URL: http://photometrix.com.au
Rothermel M (2017) Development of a SGM-based multi-view reconstruction framework for aerial imagery. Inst. Photogrammetry, Univ. Stuttgart, PhD Thesis, Deutsche Geodaetische Kommission, Reihe C, Munich. URL: http://www.ifp.uni-stuttgart/publications/dissertationen
Rothermel M, Wenzel K, Fritsch D, Haala N (2012) SURE: photogrammetric surface reconstruction from imagery. Proceedings LC3D Workshop Berlin
Snavely N, Seitz SM, Szeliski R (2006) Photo tourism: exploring photo collections in 3D. ACM Trans Graphics (TOG) 25:835–846
Tutzauer P, Klein M (2015) The 4D-CH Calw project – Spatio-temporal Modelling of photogrammetry and computer graphics. In: Ed. D. Fritsch, photogrammetric Week ‘15. Wichmann, Berlin, pp. 207-211.
Verma V, Kumar R, Hsu S (2006) 3D Building Detection and Modeling from Aerial LiDAR Data. Proceed. In: 2006 I.E. computer society conference on computer vision and Pattern recognition, CVPR’06. IEEE Computer Society, Washington DC, pp 2213–2220
Vosselman G (2012) Automated Planimetric quality control in high accuracy airborne laser scanning surveys. ISPRS J Photogramm Remote Sens 74:90–100
Wenzel K (2016) Dense image matching for close range photogrammetry. Inst. Photogrammetry, Univ. Stuttgart, PhD Thesis, 123p, Stuttgart. URL: http://www.ifp.uni-stuttgart.de/publications/dissertationen
Wenzel, K., Rothermel, M., Haala, N., Fritsch, D., 2013. Image acquisition and model selection for multi-view stereo. Int. arch. Photogrammetry, Remote Sensing, spatial Information Sciences, XL-5/W1, pp. 251–259.
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Fritsch, D., Klein, M. 3D preservation of buildings – Reconstructing the past. Multimed Tools Appl 77, 9153–9170 (2018). https://doi.org/10.1007/s11042-017-4654-5
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DOI: https://doi.org/10.1007/s11042-017-4654-5