3-D Modeling of Historic Façades Using SFM Photogrammetry Metric Documentation of Different Building Types of a Historic Center

ABSTRACT One of the main factors affecting the application of photogrammetric techniques to 3-D modeling is the degree of the space limitations imposed by nearby objects. Numerous studies show the reliability of structure from motion (SFM) when the object is located in a large and accessible space; however, when applying this technique to a particular case, the shooting must be adapted to the peculiarities of each location. This article presents the photogrammetric documentation of façades of different urban typologies, focusing on the photo-shoot arrangement that best enables us to solve the geometrical peculiarities for each case. The historic center of Santiago de Compostela (Spain) has been chosen for this study. Four representative cases of different urban typologies were selected: “significant façade,” “façade on a standard street,” “very narrow street” (width/height < 1/3), and “façade with arcades”. All have been resolved satisfactorily, having obtained relative errors between 1/770 and 1/1040.

[1]  Richard Szeliski,et al.  Recovering 3D Shape and Motion from Image Streams Using Nonlinear Least Squares , 1994, J. Vis. Commun. Image Represent..

[2]  Bojan Tepavčević,et al.  Image-based modeling approach in creating 3D morphogenetic reconstruction of Liberty Square in Novi Sad , 2011 .

[3]  J. Chandler Effective application of automated digital photogrammetry for geomorphological research: Earth Surf , 1999 .

[4]  S. B. Kang,et al.  Recovering 3 D Shape and Motion from Image Streams using Non-Linear Least Squares , 1993 .

[5]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[6]  Richard Szeliski,et al.  Towards Internet-scale multi-view stereo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[7]  Vinod Chandran,et al.  Pattern Recognition Using Invariants Defined From Higher Order Spectra- One Dimensional Inputs , 1993, IEEE Trans. Signal Process..

[8]  Juan Ortiz Sanz,et al.  A simple methodology for recording petroglyphs using low-cost digital image correlation photogrammetry and consumer-grade digital cameras , 2010 .

[9]  Mariateresa Galizia,et al.  Heritage and technology: novel approaches to 3D documentation and communication of architectural heritage , 2015 .

[10]  Juan Ortiz,et al.  Recording Complex Structures Using Close Range Photogrammetry: The Cathedral of Santiago De Compostela , 2013 .

[11]  Daniela Oreni,et al.  Strategy for Integrated Surveying Techniques Finalized to Interpretive Models in a Byzantine Church, Mesopotam, Albania , 2014 .

[12]  Scott Joseph Mason Expert system-based design of close-range photogrammetric networks , 1995 .

[13]  J. Fryer,et al.  Metric capabilities of low‐cost digital cameras for close range surface measurement , 2005 .

[14]  S. Milne,et al.  Urban heritage tourism. , 1996 .

[15]  Ferruh Yildiz,et al.  Documentation of historical caravansaries by digital close range photogrammetry , 2008 .

[16]  Luigi Barazzetti,et al.  Photogrammetric survey of complex geometries with low-cost software: Application to the ‘G1′ temple in Myson, Vietnam , 2011 .

[17]  Sisi Zlatanova,et al.  An automatic mosaicking method for building facade texture mapping using a monocular close-range image sequence , 2010 .

[18]  Clive S. Fraser,et al.  A hybrid measurement approach for close-range photogrammetry , 2009 .

[19]  Luc Van Gool,et al.  A Public System for Image Based 3D Model Generation , 2011, MIRAGE.

[20]  Richard Szeliski,et al.  Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.

[21]  G. P. Otto,et al.  "Region-growing" algorithm for matching of terrain images , 1989, Image Vis. Comput..

[22]  Benjamin P. Neal,et al.  A quick, easy and non‐intrusive method for underwater volume and surface area evaluation of benthic organisms by 3D computer modelling , 2015 .

[23]  Yusuf Arayici,et al.  An approach for real world data modelling with the 3D terrestrial laser scanner for built environment , 2007 .

[24]  Issam Boukerch,et al.  APPLICATION OF DIGITAL TERRESTRIAL PHOTOGRAMMETRY INARCHITECTURAL CONSERVATION: THE MOSQUE OF ABDULLAH IBN SALAM OFORAN , 2016 .

[25]  Alessandro De Gloria,et al.  An architectural approach to efficient 3D urban modeling , 2011, Comput. Graph..

[26]  Ivan Marović,et al.  Coastal cliff geometry derived from structure-from-motion photogrammetry at Stara Baška, Krk Island, Croatia , 2014, Geo-Marine Letters.

[27]  Javier Civera,et al.  Camera self-calibration for sequential Bayesian structure from motion , 2009, 2009 IEEE International Conference on Robotics and Automation.

[28]  S. N. Lane,et al.  Application of Digital Photogrammetry to Complex Topography for Geomorphological Research , 2000 .

[29]  Philippe De Smedt,et al.  Towards a three-dimensional cost-effective registration of the archaeological heritage , 2013 .

[30]  T. Clarke,et al.  The Development of Camera Calibration Methods and Models , 1998 .

[31]  Arko Lucieer,et al.  Direct Georeferencing of Ultrahigh-Resolution UAV Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[32]  M. Westoby,et al.  ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .

[33]  Jean-José Orteu,et al.  3-D computer vision in experimental mechanics , 2007 .

[34]  Alberto Guarnieri,et al.  Monitoring Of Complex Structure For Structural Control Using Terrestrial Laser Scanning (Tls) And Photogrammetry , 2013 .

[35]  M. Pierrot Deseilligny,et al.  APERO, AN OPEN SOURCE BUNDLE ADJUSMENT SOFTWARE FOR AUTOMATIC CALIBRATION AND ORIENTATION OF SET OF IMAGES , 2012 .

[36]  Florian Steinberg,et al.  Conservation and rehabilitation of urban heritage in developing countries , 1996 .

[37]  Henrique Lorenzo,et al.  Low-cost documentation of traditional agro-industrial buildings by close-range photogrammetry , 2007 .

[38]  Pedro Arias,et al.  Automatic processing of Terrestrial Laser Scanning data of building façades , 2012 .

[39]  F. Chiabrando,et al.  SfM FOR ORTHOPHOTO GENERATION: A WINNING APPROACH FOR CULTURAL HERITAGE KNOWLEDGE , 2015 .

[40]  Eduardo Zalama Casanova,et al.  A practical approach to making accurate 3D layouts of interesting cultural heritage sites through digital models , 2010 .

[41]  Fabio Remondino,et al.  Image‐based 3D Modelling: A Review , 2006 .

[42]  Minas E. Spetsakis,et al.  A multi-frame approach to visual motion perception , 1991, International Journal of Computer Vision.