2015
DOI: 10.5194/isprsannals-ii-5-w3-315-2015
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Benchmarking Range-Based and Image-Based Techniques for Digitizing a Glazed Earthenware Frieze

Abstract: ABSTRACT:3D high resolution models can be produced both using range-based and image-based techniques. In this work, we evaluate the performance of the Photoscan commercial software in a challenging project: the digitization of an earthenware frieze of about 36 m in length. In order to choose the most effective technique and to define the best workflow for on-the-field data acquisition and the subsequent data elaboration, some tests were performed on a portion of the frieze. We discuss the results and compare t… Show more

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Cited by 8 publications
(7 citation statements)
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“…As mentioned, digitizing earthenware was the main issue in this project. On the basis of its extensive experience in 3D laser scanning and photogrammetry recording (Grussenmeyer et al, 2016), the INSA Photogrammetry and geomatics Group team saw the key to success in the control of light conditions (Tucci et al 2015) and the homogenization of light to avoid specular reflections in photogrammetry (Nicolae et al, 2014). Due to technical reasons (large glass walls on both ends of the Winter Garden), it was impossible to regulate or homogenize the amount of light entering the sensor, but the camera chosen (Canon EOS 5DSR) allowed us to take images in RAW format and reprocess them afterwards.…”
Section: State Of the Artmentioning
confidence: 99%
“…As mentioned, digitizing earthenware was the main issue in this project. On the basis of its extensive experience in 3D laser scanning and photogrammetry recording (Grussenmeyer et al, 2016), the INSA Photogrammetry and geomatics Group team saw the key to success in the control of light conditions (Tucci et al 2015) and the homogenization of light to avoid specular reflections in photogrammetry (Nicolae et al, 2014). Due to technical reasons (large glass walls on both ends of the Winter Garden), it was impossible to regulate or homogenize the amount of light entering the sensor, but the camera chosen (Canon EOS 5DSR) allowed us to take images in RAW format and reprocess them afterwards.…”
Section: State Of the Artmentioning
confidence: 99%
“…to draw a deterioration map or to detect the points needing restoration. These applications have already been performed by the GeCO Laboratory for the model of the Ratto delle Sabine in the Galleria dell'Accademia in Florence (Tucci et al 2015a) and for the ceramic decorations of the Ospedale del Ceppo in Pistoia (Tucci et al 2015b). …”
Section: Mapping Of Deterioration and Restoration Workmentioning
confidence: 99%
“…Indeed, with the arrival of digital cameras, the field of CV individuated algorithms that permit automatic orientation of pairs, triads, or sequences of images, developing the already known technique of "structure from motion" (SFM) (Ullman, 1979) which, integrated with the algorithms of dense image matching, allows for the production of three-dimensional models of the object surveyed in a short time (Barrile et al, 2015;Fonstad, Dietrich, Courville, Jensen, & Carbonneau, 2013). Recently, in addition, many have asked about the limits and potential of the techniques of image-based modeling (Caroti, Martinez-Espejo Zaragoza, & Piemonte, 2015;Di Paola, Inzerillo, & Santagati, 2013), many have compared and integrated SFM technique with spherical photogrammetry (D'Annibale, 2011) and other authors have investigated by comparing the results obtained with the Light Detection and Ranging (LIDAR) technique (Nex & Rinaudo, 2011) or with terrestrial laser scanning (Kersten & Lindstaedt, 2012;Skarlatos & Kiparissi, 2012;Teza, Pesci, & Ninfo, 2016;Tucci, Bonora, Conti, & Fiorini, 2015;Zhang, Schneider, & Straub, 2016); still others have arrived at the conclusion that the integration of terrestrial photogrammetry and UAV (Pueschel, Sauerbier, & Eisenbeiss, 2008), or photogrammetry and LIDAR (Franceschi, Martinelli, Gislimberti, Rizzi, & Massironi, 2015) can be a good solution in the case of a survey of complex structures. Currently research on the applicability of SFM is fervent; in literature many types of applications is reported, ranging form environmental applications to safety applications, only to cite some (Javernick, Brasington, & Caruso, 2014;Javernick, Hicks, Measures, Caruso, & Brasington, 2015;Johnson et al, 2014;Marteau, Vericat, Gibbins, Batalla, & Green, 2017; Ryan et al, 2015;Westoby, Brasington, Glasser, Hambrey, & Reynolds, 2012).…”
Section: Introductionmentioning
confidence: 99%