Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 53-60, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W4-53-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
18 Feb 2015
STRUCTURE FROM MOTION SYSTEMS FOR ARCHITECTURAL HERITAGE. A SURVEY OF THE INTERNAL LOGGIA COURTYARD OF PALAZZO DEI CAPITANI, ASCOLI PICENO, ITALY
E. Ippoliti1, A. Meschini2, and F. Sicuranza2 1Dept. of Architectural History, Representation and Conservation (DiSDRA), Sapienza University, Piazza Fontanella Borghese, Roma, Italy
2School of Architecture and Design (SAD), University of Camerino, Viale della Rimembranza, Ascoli Piceno, Italy
Keywords: Structure From Motion, Image-Based Survey, 3d Data Processing, Architectural Survey, Architectural Heritage Representation, Architectural 3d Modeling Abstract. We present the results of a point-cloud-based survey deriving from the use of image-based techniques, in particular with multi-image monoscopic digital photogrammetry systems and software, the so-called “structure-from-motion” technique. The aim is to evaluate the advantages and limitations of such procedures in architectural surveying, particularly in conditions that are “at the limit”. A particular case study was chosen: the courtyard of Palazzo dei Capitani del Popolo in Ascoli Piceno, Italy, which can be considered the ideal example due to its notable vertical, rather than horizontal, layout. In this context, by comparing and evaluating the different results, we present experimentation regarding this single case study with the aim of identifying the best workflow to realise a complex, articulated set of representations—using 3D modelling and 2D processing—necessary to correctly document the particular characteristics of such an architectural object.
Conference paper (PDF, 1542 KB)


Citation: Ippoliti, E., Meschini, A., and Sicuranza, F.: STRUCTURE FROM MOTION SYSTEMS FOR ARCHITECTURAL HERITAGE. A SURVEY OF THE INTERNAL LOGGIA COURTYARD OF PALAZZO DEI CAPITANI, ASCOLI PICENO, ITALY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 53-60, https://doi.org/10.5194/isprsarchives-XL-5-W4-53-2015, 2015.

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