Original hand drawings by Leonardo are astonishing collections of knowledge, superb representations of the artist’s wayof working, which proves the technical and cultural peak of the Renaissance era. However, due to their delicate and fragilenature, they are hard to manipulate and compulsory to preserve. To overcome this problem we developed, in a 10-year-long research program, a complete workflow to produce a system able to replace, investigate, describe and communicateancient fine drawings through what Leonardo calls “the best sense” (i.e., the view), the so-calledISLe(InSightLeonardo). Theoutcoming visualization app is targeted to a wide audience made of museum visitors and, most importantly, art historians,scholars, conservators, and restorers. This article describes a specific feature of the workflow: the appearance modeling withthe aim of an accurate Real-Time Rendering (RTR) visualization. This development is based on the direct observation offive among the most known Leonardo da Vinci’s drawings, spanning his entire activity as a draftsman, and it is the resultof an accurate analysis of drawing materials used by Leonardo, in which peculiarities of materials are digitally reproducedat the various scales exploiting solutions that favor the accuracy of perceived reproduction instead of the fidelity to thephysical model and their ability to be efficiently implemented over a standard GPU-accelerated RTR pipeline. Results of thedevelopment are exemplified on five of Leonardo’s drawings and multiple evaluations of the results, subjective and objective,are illustrated, aiming to assess potential and critical issues of the application.
Fabrizio Ivan Apollonio, R.F. (2021). How to Analyze, Preserve, and Communicate Leonardo's Drawing? A Solution to Visualize in RTR Fine Art Graphics Established from “the Best Sense”. ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, 14(3), 1-30 [10.1145/3433606].
How to Analyze, Preserve, and Communicate Leonardo's Drawing? A Solution to Visualize in RTR Fine Art Graphics Established from “the Best Sense”
Fabrizio Ivan ApollonioPrimo
Methodology
;Riccardo FoschiSecondo
Methodology
;Marco GaianiPenultimo
Methodology
;Simone Garagnani
Ultimo
Software
2021
Abstract
Original hand drawings by Leonardo are astonishing collections of knowledge, superb representations of the artist’s wayof working, which proves the technical and cultural peak of the Renaissance era. However, due to their delicate and fragilenature, they are hard to manipulate and compulsory to preserve. To overcome this problem we developed, in a 10-year-long research program, a complete workflow to produce a system able to replace, investigate, describe and communicateancient fine drawings through what Leonardo calls “the best sense” (i.e., the view), the so-calledISLe(InSightLeonardo). Theoutcoming visualization app is targeted to a wide audience made of museum visitors and, most importantly, art historians,scholars, conservators, and restorers. This article describes a specific feature of the workflow: the appearance modeling withthe aim of an accurate Real-Time Rendering (RTR) visualization. This development is based on the direct observation offive among the most known Leonardo da Vinci’s drawings, spanning his entire activity as a draftsman, and it is the resultof an accurate analysis of drawing materials used by Leonardo, in which peculiarities of materials are digitally reproducedat the various scales exploiting solutions that favor the accuracy of perceived reproduction instead of the fidelity to thephysical model and their ability to be efficiently implemented over a standard GPU-accelerated RTR pipeline. Results of thedevelopment are exemplified on five of Leonardo’s drawings and multiple evaluations of the results, subjective and objective,are illustrated, aiming to assess potential and critical issues of the application.File | Dimensione | Formato | |
---|---|---|---|
how to analyze preserve communicate leonardo drawing post print.pdf
accesso aperto
Tipo:
Postprint
Licenza:
Licenza per accesso libero gratuito
Dimensione
2.28 MB
Formato
Adobe PDF
|
2.28 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.