ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 49-55, 2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
28 May 2014
The documentation and reintegration of a lost past
C. Balletti, N. Brussa, C. Gottardi, and F. Guerra Università Iuav di venezia, Venezia, Italy
Keywords: Cultural Heritage, Laser scanning, Image, Three-dimensional, Representation Abstract. The paper describes how new digital methodologies can be used within the field of Cultural Heritage, not only with the aim of documenting the actual state of an architecture but to review the past transformations it has undergone, conserving and representing these histories as well.

Over the last few years, the methodologies of acquisition and integrated representation for 3D patrimony documentation have developed and consolidated considerably: the possibilities of the digital realm can augment the understanding and the valorisation of a monument.

The specific case offered in the present paper, the Scuola Vecchia della Misericordia in Venice, is a significant example. It suggests not only the theme of the "no longer existing" regarding its façade, which has undergone evident modifications, but also the recontextualization of a number of decorative elements, such as the bas-reliefs which once marked the entrance and are today conserved in the Victoria and Albert Museum, London.

The described experience shows how integrated methodology, from high resolution laser scanning and photogrammetric survey to 3d modelling, can develop a reliably virtual diachronical reconstruction from different sources of an historical building. Geomatic tools combined with computer graphics provide a better understanding of building history through the use historical documents, playing a paramount role in preserving and valorizing the cultural and environmental heritage.

Conference paper (PDF, 15929 KB)

Citation: Balletti, C., Brussa, N., Gottardi, C., and Guerra, F.: The documentation and reintegration of a lost past, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 49-55,, 2014.

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