IMAGE-BASED MODELING TECHNIQUES FOR ARCHITECTURAL HERITAGE 3D DIGITALIZATION: LIMITS AND POTENTIALITIES

Santagati, Cettina, Inzerillo, Laura and Di Paola, Francesco (2013) IMAGE-BASED MODELING TECHNIQUES FOR ARCHITECTURAL HERITAGE 3D DIGITALIZATION: LIMITS AND POTENTIALITIES. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5 (w2). pp. 555-560. ISSN 2194-9034 [Article]

[img] PDF
isprsarchives-XL-5-W2-555-2013.pdf
Restricted to Registered users only

Download (2MB)

Abstract (in English)

3D reconstruction from images has undergone a revolution in the last few years. Computer vision techniques use photographs from data set collection to rapidly build detailed 3D models. The simultaneous applications of different algorithms (MVS), the different techniques of image matching, feature extracting and mesh optimization are inside an active field of research in computer vision. The results are promising: the obtained models are beginning to challenge the precision of laser-based reconstructions. Among all the possibilities we can mainly distinguish desktop and web-based packages. Those last ones offer the opportunity to exploit the power of cloud computing in order to carry out a semi-automatic data processing, thus allowing the user to fulfill other tasks on its computer; whereas desktop systems employ too much processing time and hard heavy approaches. Computer vision researchers have explored many applications to verify the visual accuracy of 3D model but the approaches to verify metric accuracy are few and no one is on Autodesk 123D Catch applied on Architectural Heritage Documentation. Our approach to this challenging problem is to compare the 3Dmodels by Autodesk 123D Catch and 3D models by terrestrial LIDAR considering different object size, from the detail (capitals, moldings, bases) to large scale buildings for practitioner purpose.

Item Type: Article
Authors:
Authors
Email
Santagati, Cettina
cettina.santagati@dau.unict.it
Inzerillo, Laura
laura.inzerillo@unipa.it
Di Paola, Francesco
francesco.dipaola@unipa.it
Languages: English
Keywords: Image-based modeling; 3D reconstruction; Computer Vision; Documentation; Photogrammetry; 3D; Architectural heritage
Subjects: F. SCIENTIFIC TECHNIQUES AND METHODOLOGIES OF CONSERVATION > 10. Architectural surveys
F. SCIENTIFIC TECHNIQUES AND METHODOLOGIES OF CONSERVATION > 25. Heritage documentation
F. SCIENTIFIC TECHNIQUES AND METHODOLOGIES OF CONSERVATION > 38. Photogrammetric surveys
H. HERITAGE TYPOLOGIES > 04. Architectural ensembles
Volume: XL-5
Number: w2
ISSN: 2194-9034
Depositing User: Eng Cettina Santagati
Date Deposited: 19 Nov 2013 11:18
Last Modified: 19 Nov 2013 11:18
References: Agarwal, S. (et al.), 2010. Reconstructing Rome. Computer, 43 (6), pp. 40-47

Bandiera A. (et al.), 2011. Nascita ed utilizzo delle tecniche digitali di 3D imaging, modellazione e visualizzazione per l’architettura e i beni culturali. Ikhnos, Lombardi editore, pp. 81-134 Casu P., Pisu C., (2013). Photo-modeling and cloud computing. applications in the survey of late gothic architectural elements. ISPRS Archives – Volume XL-5/W1, 2013. pp 43-50

Cignoni, P. (et al.), 2008. MeshLab: an Open-Source Mesh

Processing Tool, Sixth Eurographics Italian Chapter Conference, pp. 129-136

Fratus de Balestrini, E., Guerra, F., 2011. New instruments for survey: on line softwares for 3d recontruction from images. In: The International Archives of the photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-5/W16, pp. 545- 552

Dellepiane (et al), 2013. Archeological excavation monitoring using dense stereo matching techniques. Journal of Cultural Heritage, in press.

Furukawa, Y., Ponce, J., 2007. Accurate, Dense, and Robust

Multi-View Stereopsis, IEEE Computer Society Conference on

Computer Vision and Pattern Recognition, July 2007.

Furukawa, Y. (et al.), 2010. Towards Internet-scale Multi-view Stereo, IEEE Computer Society Conference on Computer

Vision and Pattern Recognition, July 2010

Galizia M., Santagati C., 2012. Low-cost image-based modeling techniques for archaeological heritage digitalization: more than just a good tool for 3D visualization?, Proceedings of ARQUEOLÓGICA 2.0, Seville, Spain, 20-22 June 2012

Kersten, Th. (et al.), 2012. Automatische 3D-Objektrekonstruktion aus unstrukturierten digitalen Bilddaten für Anwendungen in Architektur, Denkmalpflege und Archäologie. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation, 21, pp. 137-148

Kersten, Th., Stallmann, D., 2012. Automatic texture mapping

of architectural and archaeological 3d models. In: The

International Archives of the Photogrammetry, Remote Sensing

and Spatial Information Sciences, XXXIX-B5, 273-278

Kersten, Th., Lindstaedt, M., 2012. Image-Based Low-Cost

Systems For Automatic 3d Recording And Modelling Of

Archaeological Finds And Objects, M. Ioannides, D. Fritsch, J.

Leissner, R. Davies, F. Remondino, R. Caffo (Eds): EuroMed

2012, Progress In Cultural Heritage Preservation, LNCS

7616, Springer-Verlag Berlin Heidelberg 2012, Pp 1-10

Lo Brutto M., Meli, P., 2012. Computer vision tools for 3d

modelling in archaeology, International Journal of Heritage in the Digital Era, Volume 1, Supplement , pp 1-6

Manferdini, A.M, Galassi, M., (2013). Assessments for 3d

reconstructions of cultural heritage using digital technologies. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W1, pp 167-174.

Nguyen, H.M., (et al.), 2012. 3D Models from the Black Box:

Investigating the Current State of Image-Based Modeling.

Proceedings of the 20th International Conference on Computer

Graphics, Visualization and Computer Vision (WSCG 2012),

Pilsen, Czech Republic, June 25-28, 2012

Pierrot-Deseilligny, M. (et al.), 2011. Automated image-based procedures for accurate artifacts 3D modeling and orthoimage generation, Proc. CIPA, 2011

Remondino, F. (et al.), 2012. Low-Cost and Open-Source

Solutions for Automated Image Orientation–A Critical

Overview, M. Ioannides, D. Fritsch, J. Leissner, R. Davies, F.

Remondino, R. Caffo (Ed.): EuroMed 2012, Progress In

Cultural Heritage Preservation, LNCS 7616, Springer-Verlag

Berlin Heidelberg 2012, 40-54

Santagati, C. 2006. “L’azzurro del cielo”. Un polo museale tra arte, architettura, natura nel cimitero di Catania, Documenti DAU n. 31, Edizioni Caracol, Palermo.

Santagati, C., Inzerillo, L., (2013). 123D Catch: efficiency, accuracy, constraints and limitations in architectural heritage field. International Journal of Heritage in Digital Era, in press.

Snavely, N. (et al) 2006. Photo tourism: Exploring photo

collections in 3D. ACM Transactions on Graphics, 25(3):835–

846, 2006.

Snavely, N., (et al) 2008. Modeling the World from Internet

Photo Collections. International Journal of Computer Vision,

80(2), pp. 189-210

Vergauwen, M., Van Gool, L., 2006. Web-based 3D

Reconstruction Service. Machine Vision and Applications 17,

pp. 411–426

Vu, H-H (et al.), 2009. Towards high-resolution large-scale

multi-view stereo. In: IEEE Computer Society Conference on

Computer Vision and Pattern Recognition, July 2009

Wang Y F. A Comparison Study of Five 3D Modelling Systems

Based on the SfM Principles. Technical Report, Visualsize Inc. TR 2011-01, Sept 8: 1-30

Wu, C., 2011. VisualSFM : A Visual Structure from Motion

System http://homes.cs.washington.edu/~ccwu/vsfm/ (2011)

Wu C. (et al), 2011. Multicore Bundle Adjustment. In: IEEE

Computer Society Conference on Computer Vision and Pattern

Recognition 2011.
URI: https://openarchive.icomos.org/id/eprint/1444

Actions (login required)

View Item View Item

Metadata

Downloads

Downloads per month over past year

View more statistics

© ICOMOS
https://www.icomos.org/en
documentation(at)icomos.org