Lux in Tenebris: un flujo de trabajo para digitalizar y visualizar obras de arte pictóricas en contextos museísticos complejos

Fabrizio Ivan Apollonio

https://orcid.org/0000-0001-5186-1378

Italy

University of Bologna image/svg+xml

Dipartimento di Architettura

Filippo Fantini

https://orcid.org/0000-0003-4520-5045

Italy

University of Bologna image/svg+xml

Dipartimento di Architettura

Simone Garagnani

https://orcid.org/0000-0002-9509-6564

Italy

University of Bologna image/svg+xml

Dipartimento di Architettura

|

Aceptado:

|

Publicado: 30-11-2023

DOI: https://doi.org/10.4995/ega.2023.19530
Datos de financiación

Descargas

Palabras clave:

museos, fotografía, renderizado en tiempo real, eliminación de sombras, Fra Angelico

Agencias de apoyo:

Esta investigación no contó con financiación

Resumen:

En el ámbito museístico es frecuente encontrarse con limitaciones logísticas que dificultan la documentación de las obras de arte. El patrimonio pictórico presenta además otras criticidades debidas a la imposibilidad de modificar la iluminación: basada en criterios de conservación y comunicación, haciendo resaltar las características materiales, cromáticas y de ejecución. Esto conduce a situaciones inadecuadas para el levantamientos por imágenes fotográficas, ya complicadas en sí por las complejas propiedades ópticas de los materiales. La técnica que aquí se presenta fue desarrollada para la documentación de la Anunciación (1430-32) de Fra Giovanni Angelico (Museo de la Basílica S. Maria delle Grazie, San Giovanni Valdarno, Arezzo) y permite eliminar y atenuar fenómenos indeseables debidos a las condiciones específicas del contexto museístico. Se mostrará una estrategia capaz de eliminar las sombras nitidas, así como los fenómenos de claroscuro, de las texturas asociadas al modelo digital de la pintura y su marco, garantizando su fidelidad visual.

Ver más Ver menos

Citas:

AKENINE-MÖLLER, T., HAINES, E. and HOFFMAN, N., 2018. Real-Time Rendering. 4th ed Boca Raton, FL: Taylor & Francis, CRC Press. https://doi.org/10.1201/b22086

ANDERSON, B.L., 2011. Visual perception of materials and surfaces. Current biology, 21 (24), pp. 978-983. https://doi.org/10.1016/j.cub.2011.11.022

APOLLONIO, F.I., FANTINI, F., GARAGNANI, S. and GAIANI, M., 2021a. A Photogrammetry-Based Workflow for the Accurate 3D Construction and Visualization of Museums Assets. Remote Sensing, 13 (3), 486. https://doi.org/10.3390/rs13030486

APOLLONIO, F.I., FOSCHI, R., GAIANI, M. and GARAGNANI, S., 2021b. How to Analyze, Preserve, and Communicate Leonardo's Drawing? A Solution to Visualize in RTR Fine Art Graphics Established from "the Best Sense". J. Comput. Cult. Herit., 14 (3), pp. 1-30. https://doi.org/10.1145/3433606

ARTEAGA, Y., ADITYA SUNEEL, S., YNGVE, H.J. and BOUST, C., 2022. Characterising appearance of gold foils and gilding in conservation and restoration. Colour and Visual Computing Symposium 2022. https://hdl.handle.net/11250/3035987

BARNES, C., GOLDMAN, D.B., SHECHTMAN, E. and FINKELSTEIN, A., 2011. The PatchMatch randomized matching algorithm for image manipulation. Commun. ACM, 54 (11), pp. 103-110. https://doi.org/10.1145/2018396.2018421

BURLEY, B., 2012. Physically-based shading at Disney, course notes. SIGGRAPH '12 Courses. New York, NY, United States: ACM.

BURLEY, B., 2015. Extending Disney's Physically Based BRDF with Integrated Subsurface Scattering. SIGGRAPH'15 Courses. New York, NY, United States: ACM.

CABEZOS-BERNAL, P. M., RODRIGUEZ-NAVARRO, P. and GIL-PIQUERAS, T., 2021. Documenting Paintings with Gigapixel Photography. J. Imaging, 7 (8), 156. https://doi.org/10.3390/jimaging7080156

CIPRIANI, L. and FANTINI, F., 2015. Modelli digitali da Structure from Motion per la costruzione di un sistema conoscitivo dei portici di Bologna/Structure from Motion digital models to develop a cognitive system of the porticoes in Bologna. Disegnare idee immagini, 50 (1), pp. 70-81. http://digital.casalini.it/10.36165/1669

Conservation and Art Materials Encyclopedia Online (CAMEO). Available: https://cameo.mfa.org/wiki/Main_Page [Accessed: 12-April-2023].

COX, B.D. y BERNS, R.S., 2015. Imaging artwork in a studio environment for computer graphics rendering. In Ortiz-Segovia, M.V., Urban, P. and Imai, F.H. (editors), Measuring, Modeling, and Reproducing Material Appearance 2015. Vol. 9398. International Society for Optics and Photonics. https://doi.org/10.1117/12.2083388

EBERLY, D.H., 2015. 3D Game Engine Design: A Practical Approach to Real-Time Computer Graphics. Boca Raton: Taylor & Francis, CRC Press.

FINLAYSON, G.D., HORDLEY, S.D., LU, C. and DREW, M.S., 2006. On the removal of shadows from images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1 (28), pp. 59-68. https://doi.org/10.1109/TPAMI.2006.18

GAIANI, M. and BALLABENI, A., 2018. SHAFT (SAT & HUE Adaptive Fine Tuning), a new automated solution for target-based color correction. En Colour and Colorimetry Multidisciplinay Contributions, XIVB, pp. 69-80.

GARCÍA-CÓRDOBA, M., GARCÍA-SÁNCHEZ, R., GARCÍA-LEÓN, J., VÁZQUEZ-ARENAS, G., 2022. The Golden Ratio as a Compositional and Structural Tool in Renaissance Artists. A Comparative Example. In Ródenas-López, M.A., Calvo-López, J., Salcedo-Galera, M. (editors) Architectural Graphics. EGA 2022. Springer Series in Design and Innovation, vol 21. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-04632-2_39

GONZÁLEZ-MOZO, A., 2019. Strategies for Depicting Sacred Stories. En STREHLKE, C.B. (editor), Fra Angelico and the Rise of the Florentine Renaissance. Madrid: Museo Nacional del Prado, pp. 57-77.

HORMANN, K., POLTHIER, K. and SHEFFER, A., 2008. Mesh parameterization: theory and practice. ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia. https://doi.org/10.1145/1508044.1508091

JAKOB, W., TARINI, M., PANOZZO, D. and SORKINE-HORNUNG, O., 2015. Instant field-aligned meshes. ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2015, 6 (34), pp. 1-15. https://doi.org/10.1145/2816795.2818078

KAINZ, F., BOGART, R. and HESS, D., 2004. Chapter 26. The OpenEXR Image File Format. In Randima, F. (editor), GPU Gems: Programming Techniques, Tips and Tricks for Real-Time Graphics. Boston: Addison-Wesley Professional.

MARTINI, M., PESCI, L. and SACCHETTI, L., 2019. Museo della Basilica di Santa Maria delle Grazie a San Giovanni Valdarno: pittura e scultura, arredi sacri, paramenti liturgici. Firenze: Polistampa.

MARTINI, M. and BONI, F., 2022. Arte e storia: dalla bellezza divina incarnata all'atroce disumanità dell'uomo che si crede Dio. In STREHLKE, C.B. (editor), Masaccio e Angelico: dialogo sulla verità nella pittura. Arezzo: Magonza.

MURALI, S., GOVINDAN, V.K. and KALADY, S., 2022. Quaternion-based image shadow removal. Vis. Comput., 38 (5), pp. 1527-1538. https://doi.org/10.1007/s00371-021-02086-6

PRATT, W.K., 2007. Digital Image Processing: PIKS Scientific Inside. John Wiley & Sons, Inc. New York: United States. https://doi.org/10.1002/0470097434

REINHARD, E. and DEVLIN, K., 2005. Dynamic range reduction inspired by photoreceptor physiology. IEEE Transactions on Visualization and Computer Graphics, 1 (11), pp. 13-24. https://doi.org/10.1109/TVCG.2005.9

REINHARD, E., WARD, G., PATTANAIK, S. and DEBEVEC, P., 2005. High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics). San Francisco, CA, United States: Morgan Kaufmann Publishers Inc. https://doi.org/10.1016/B978-012585263-0/50010-5

REMONDINO, F., RIZZI A., BARAZZETTI, L., SCAIONI, M., FASSI, F., BRUMANA, R. and PELAGOTTI, A., 2011. Review of Geometric and Radiometric Analyses of Paintings. The Photogrammetric Record, 26 (136), pp. 439-461. https://doi.org/10.1111/j.1477-9730.2011.00664.x

SALAMA, R. and ELSAYED, M., 2018. Basic Elements and Characteristics of Game Engine. Global Journal of Computer Sciences: Theory and Research, 8 (3), pp. 126-31. https://doi.org/10.18844/gjcs.v8i3.4023

STREHLKE, C.B. (editor), 2019. Fra Angelico and the Rise of the Florentine Renaissance. Madrid: Museo Nacional del Prado.

STREHLKE, C.B. (editor), 2022. Masaccio e Angelico: dialogo sulla verità nella pittura. Arezzo: Magonza.

TORRANCE, K.E. and SPARROW, E.M., 1967. Theory for off-specular reflection from roughened surfaces. J. Optical Soc. America, 57, pp. 1105-1114. https://doi.org/10.1364/JOSA.57.001105

WALTER, B., MARSCHNER, S.R., LI, H. and TORRANCE, K.E., 2007. Microfacet models for refraction through rough surfaces. In Proceedings of the 18th Eurographics conference on Rendering Techniques (EGSR'07), pp. 195-206. Goslar, DEU: Eurographics Association. https://doi.org/10.2312/EGWR/EGSR07/195-206

WOODHAM, R.J., 1980. Photometric method for determining surface orientation from multiple images. Optical Engineerings, 19 (1), pp. 139-144. https://doi.org/10.1117/12.7972479

XIONG, Y., 2023. PSBox, A matlab toolbox for photometric stereo. Available: https://www.mathworks.com/matlabcentral/fileexchange/45250-psbox [Accessed: 12-April-2023].

ZARRAD, A., 2018. Game Engine Solutions. En Cvetkovic', D. (editor), Simulation and Gaming, pp. 75-87. London, United Kingdom: IntechOpen. https://doi.org/10.5772/intechopen.71429

ZHANG, L., BARNES, C., WAMPLER, K., AMIRGHODSI, S., SHECHTMAN, E., LIN, Z.L., and SHI, J., 2022. Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation. European Conference on Computer Vision. https://doi.org/10.1007/978-3-031-19790-1_4

ZHENG, Z., NIE, N., LING, Z., XIONG, P., LIU, J., WANG, H. and LI, J., 2022. DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8915-8924. https://doi.org/10.1109/CVPR52688.2022.00872

Ver más Ver menos