Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 25-29, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W4-25-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
18 Feb 2015
AN APPROACH TO 3D DIGITAL MODELING OF SURFACES WITH POOR TEXTURE BY RANGE IMAGING TECHNIQUES. ‘SHAPE FROM STEREO’ VS. ‘SHAPE FROM SILHOUETTE’ IN DIGITIZING JORGE OTEIZA’S SCULPTURES
J. García Fernández1, A. Álvaro Tordesillas2, and S. Barba3 1Architectural Photogrammetry Lab., College of Architecture, University of Valladolid, Spain
2Dept. of Graphical Representation, College of Architecture, University of Valladolid, Spain
3Dep. of Civil Engineering, Faculty of Engineering, University of Salerno, Italy
Keywords: Cultural Heritage, Modelling, Radiometric-geometric comparison, Surface Abstract. Despite eminent development of digital range imaging techniques, difficulties persist in the virtualization of objects with poor radiometric information, in other words, objects consisting of homogeneous colours (totally white, black, etc.), repetitive patterns, translucence, or materials with specular reflection. This is the case for much of the Jorge Oteiza’s works, particularly in the sculpture collection of the Museo Fundación Jorge Oteiza (Navarra, Spain). The present study intend to analyse and asses the performance of two digital 3D-modeling methods based on imaging techniques, facing cultural heritage in singular cases, determined by radiometric characteristics as mentioned: Shape from Silhouette and Shape from Stereo. On the other hand, the text proposes the definition of a documentation workflow and presents the results of its application in the collection of sculptures created by Oteiza.
Conference paper (PDF, 1995 KB)


Citation: García Fernández, J., Álvaro Tordesillas, A., and Barba, S.: AN APPROACH TO 3D DIGITAL MODELING OF SURFACES WITH POOR TEXTURE BY RANGE IMAGING TECHNIQUES. ‘SHAPE FROM STEREO’ VS. ‘SHAPE FROM SILHOUETTE’ IN DIGITIZING JORGE OTEIZA’S SCULPTURES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 25-29, https://doi.org/10.5194/isprsarchives-XL-5-W4-25-2015, 2015.

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