3D Modeling by thermography for non-destructive analysis of archaeological heritage

3D Modeling by thermography for non-destructive analysis of archaeological heritage

Vincenzo BarrileAntonino Fotia 

Università degli Studi Mediterranea, via Graziella Feo di Vito, Reggio Calabria, Italy

Corresponding Author Email: 
30 September 2018
| Citation



Nowadays, the law define as "cultural heritage" a big amount of artifacts. It is immense and in continuous expansion.The need to know as much as possible about the goods and to maximize its duration while maintaining its integrity and its accessibility to the public, has led to the search for increasingly effective solutions to fulfill the purpose. Thermographic analyses are fundamental to determine the insulating and thermo-absorbing capacities of the constituent elements and the position of structural elements not otherwise identifiable to the naked eye. The operation of the Thermographic camera is based on the material’s ability to absorb and release heat. The instrument generates maps in different colors that associate a corresponding color with a detected temperature.The present note describes the methodology for the realization of a thermical three-dimensional photogrammetric model, realized with infrared images applied to archaeological assets.The 3D modeling is based on the combined use of imaging techniques as digital photogrammetry and computer vision.


archaeological heritage, 3d model, thermography

1. Introduction
2.The survey methods
3. Termography
4. Case study
5. Conclusion

Ahmadabadian A. H., Robson S., Boehm J., Shortis M., Wenzel K., Fritsch D. (2013). A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 78, pp. 157-167. https://doi.org/10.1016/j.isprsjprs.2013.01.015

Baltsavias E., Gruen A., Zhang L., Waser L. T. (2008). High-quality image matching and automated generation of 3D tree models. International Journal of Remote Sensing, Vol. 29, pp. 1243-1259. https://doi.org/10.1080/01431160701736513

Barrile V., Bilotta G. (2017). Computer vision in 3D modeling of cultural heritage: The Riace Bronzes. In: ISPRS workshop on multi-dimensional & multi-scale spatial data modeling. ADVANCED SCIENCE LETTERS, Vol. 103. https://doi.org/10.1166/asl.2018.11764

Barrile V., Meduri G. M., Bilotta G. (2015). Integration of TLS and thermography for the morphometric characterization. International Journal Of Systems Applications, Engineering & Development, Vol. 9, pp. 110-114. http://www.naun.org/main/UPress/saed/2015/a365917015.pdf

Bergero S., Cavalletti P., Chiari A. (2018). The importance of thermal bridge correction in energy refurbishment of existing buildings. Mathematical Modelling of Engineering Problems, Vol. 5, No. 3, pp. 197-204. https://doi.org/10.18280/mmep.050310

Bolognesi M., Furini A., Russo V., Pellegrinelli A., Russo P. (2014). Accuracy of cultural heritage 3D models by RPAS and terrestrial photogrammetry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 5, pp. 113-119. https://doi.org/10.5194/isprsarchives-XL-5-113-2014

Büyüksalih G., Li Z. (2005). Practical experiences with automatic aerial triangulation using different software packages. Photogrammetric Record, Vol. 18, pp. 131-155.

Costa E., Balletti C., Beltrame C., Guerra F., Vernier P. (2016). Digital survey techniques for the documentation of wooden shipwrecks, ISPRS annals of the photogrammetry. Remote Sensing and Spatial Information Sciences, Vol. 41, pp. B5. https://doi.org/10.5194/isprsarchives-XLI-B5-237-2016

Eltner A., Schneider D. (2015). Analysis of different methods for 3D reconstruction of natural surfaces from parallel‐axes UAV images. The Photogrammetric Record, Vol. 30, No. 151, pp. 279-299. https://doi.org/10.1111/phor.12115

Fonstad M. A., Dietrich J. F., Courville B. C., Jensen J. L., Carbonneau P. E. (2013). Topographic structure from motion: a new development in Photogrammetric measurement. Eart. Surf. Process. Landforms, Vol. 38, pp. 421-430. https://doi.org/10.1002/esp.3366

Grinzato E., Bressan C., Marinetti S., Bison P. G., Bonacina C. (2002). Monitoring of the Scrovegni Chapel by IR thermography: Giotto at infrared. Elsevier Science. Infrared Physics & Technology, Vol. 43, pp. 165–169. https://doi.org/10.1016/S1350-4495(02)00136-6

Gustafson P. C. (1988). The application of real-time and near real-time photogrammetry in industry. A Test of Accuracy ISPRS Archives, Volume XXVII. http://www.isprs.org/proceedings/XXVII/congress/part5/198_XXVII-part5-sup.pdf

Haala N., Hastedt H., Wolf K., Ressl C., Baltrusch S. (2010). Digital photogrammetric camera evaluation, generation of digital elevation models. Photogrammetrie-Fernerkundung-Geoinformation, Vol. 2, pp. 99-115. https://doi.org/10.1127/1432-8364/2010/0043

Heipke C. (1997). Automation of interior, relative, and absolute orientation. ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 52, pp. 1-19. https://doi.org/10.1016/S0924-2716(96)00029-9

Kalantari M., Kassera M. (2004). Implementation of a low-cost photogrammetric methodology for 3D modelling of ceramic fragments. In Proceedings of the XXI International CIPA Symposium. http://www.isprs.org/proceedings/XXXVI/5-C53/papers/FP079.pdf

Lingua A., Marenchino D., Nex F. (2009). Performance analysis of the SIFT operator for automatic feature extraction and matching in photogrammetric applications. Sensors, Vol. 9, pp. 3745- 3766. https://doi.org/10.3390/s90503745

Pollefeys M., Van Gool L., Vergauwen M., Cornelis K., Verbiest F., Tops J. (2001). Image-based 3D acquisition of archaeological heritage and applications. In Proceedings of the 2001 conference on Virtual reality, archeology, pp. 255-262. https://doi.org/10.1145/584993.585033

Pozzoli A., Mussio L. (2003). Quickly solutions particularly in close range photogrammetry. International Archives of Photogrammetry and Remote Sensing, Vol. XXXIV, pp. 273-278. http://www.isprs.org/proceedings/XXXIV/5-W12/proceedings/68.pdf

Pozzoli A., Mussio L., Scaioni M. (2004). A solution for the general case of three-image orientation. International Archives of Photogrammetry and Remote Sensing, Vol. XXXV, pp. 992-997.

Remondino F., El-Hakim S. F., Gruen A., Zhang L. (2008). Turning images into 3-D models, IEEE Signal Processing Magazine, Vol. 25, pp. 55-65. https://doi.org/10.1109/MSP.2008.923093

Remondino F., Menna F. (2008). Image-based surface measurement for close-range heritage documentation, International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences, Vol. 37, pp. 199-206.  URL : http://www.isprs.org/proceedings/XXXVII/congress/5_pdf/36.pdf

Saio C., Nocentini K., Tagliafico L. A., Biwole P. H., Achard P. (2017). Application of advanced insulating materials in historical buildings. International Journal of  Heat And Technology, Vol. 35, Special Issue 1, pp. S345-S352. https://doi.org/10.18280/ijht.35Sp0147

Scovanner P., Ali S., Shah M. (2007). A 3-Dimensional SIFT descriptor and its application to action recognition. In Proceedings of the 15th International Conference on Multimedia, pp. 357-360. https://doi.org/10.1145/1291233.1291311

Zaginaylo I. V., Maksimeniuk Y. A., Pysarenko A. N. (2017). Two-dimensional numerical simulation study of the effective thermal conductivity statistics for binary composite materials. International Journal of Heat and Technology, Vol. 35, No. 2, pp. 364-370. https://doi.org/10.18280/ijht.350219