Deformation analysis of Leonardo da Vinci's “Adorazione dei Magi” through temporal unrelated 3D digitization

Abstract 3D scanning is an effective technology for dealing at different levels the state of conservation/deformation of a panel painting, from the micro-geometry of the craquelure to the macro-geometry of the supported used. Unfortunately, the current solutions used to analyze multiple 3D scans acquired over time are based on very controlled acquisition procedures, such as the use of target reference points that are stationary over time and fixed to the artwork, or on complex hardware setups to keep the acquisition device fixed to the artwork. These procedures are challenging when a long monitoring period is involved or during restoration when the painting may be moved several times. This paper presents a new and robust approach to observe and quantify the panel deformations of artworks by comparing 3D models acquired with different scanning devices at different times. The procedure is based on a non-rigid registration algorithm that deforms one 3D model over the other in a controlled way, extracting the real deformation field. We apply the method to the 3D scanning data of the unfinished panel painting “Adorazione dei Magi” by Leonardo da Vinci. The data were acquired in 2002 and 2015. First, we analyze the two 3D models with the classical distance from the ideal flat plane of the painting. Then we study the type of deformation of each plank of the support by fitting a quadric surface. Finally, we compare the models before and after the deformation computed by a non-rigid registration algorithm. This last comparison enables the panel deformation to be separated from the structural changes (e.g. the structural restorations on the back and the missing pieces) of the artwork in a more robust way.

[1]  Raffaella Fontana,et al.  Integrating 2D and 3D data for diagnostics of panel paintings , 2003, SPIE Optical Metrology.

[2]  Dario Ambrosini,et al.  Integrated digital speckle based techniques for artworks monitoring , 2008 .

[3]  N. P. Avdelidis,et al.  Importance of integrated results of different non-destructive techniques in order to evaluate defects in panel paintings: the contribution of infrared, optical and ultrasonic techniques , 2011, Optical Metrology.

[4]  Antiques Gallery INFRARED METHODS IN NONINVASIVE INSPECTION OF ARTWORK , 2008 .

[5]  Gregory H. Bearman,et al.  A New Quantitative Method for the Non-Invasive Documentation of Morphological Damage in Paintings Using RTI Surface Normals , 2014, Sensors.

[6]  Hao Li,et al.  Global Correspondence Optimization for Non‐Rigid Registration of Depth Scans , 2008, Comput. Graph. Forum.

[7]  Christina Young,et al.  Using ESPI to Characterise the Mechanical Behaviour of Paintings on Canvas , 2005 .

[8]  R. Gr. Maev,et al.  MODERN NON-DESTRUCTIVE PHYSICAL METHODS FOR PAINTINGS TESTING AND EVALUATION , 2008 .

[9]  Alessandro Piva,et al.  Multispectral imaging of paintings , 2008, IEEE Signal Processing Magazine.

[10]  C. Casieri,et al.  A portable NMR sensor for moisture monitoring of wooden works of art, particularly of paintings on wood , 2009, Wood Science and Technology.

[11]  Stuart Robson,et al.  Periodic photogrammetric monitoring and surface reconstruction of a historical wood panel painting for restoration purposes , 2004 .

[12]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[13]  J. Susini,et al.  Photon-based techniques for nondestructive subsurface analysis of painted cultural heritage artifacts. , 2010, Accounts of chemical research.

[14]  Tamy Boubekeur,et al.  Scalable non-rigid registration for multi-view stereo data , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[15]  Paolo Cignoni,et al.  MeshLab: an Open-Source Mesh Processing Tool , 2008, Eurographics Italian Chapter Conference.

[16]  Fabio Menna,et al.  3D painting documentation: evaluation of conservation conditions with 3D imaging and ranging techniques , 2014 .

[17]  Michał Łukomski,et al.  Digital speckle pattern interferometry for the condition surveys of painted wood: Monitoring the altarpiece in the church in Hedalen, Norway , 2012 .

[18]  E. Maeva,et al.  INFRARED METHODS IN NONINVASIVE INSPECTION OF ARTWORK , 2008 .

[19]  Slawomir Jakiela,et al.  Allowable thresholds in dynamic changes of microclimate for wooden cultural objects: monitoring in situ and modelling , 2005 .

[20]  Colin Forno,et al.  Moiré fringe analysis of cradled panel paintings , 1997 .

[21]  Dario Ambrosini,et al.  Digital moiré by a diffractive optical element for deformation analysis of ancient paintings , 2003 .

[22]  Gabriele Guidi,et al.  Painting Survey by 3D Optical Scanning - The Case of Adoration of the Magi by Leonardo Da Vinci , 2004 .

[23]  T Olstad,et al.  Polychrome wooden ecclesiastical art - Climate and dimensional changes , 2001 .

[24]  G Sansoni,et al.  Three-dimensional vision based on a combination of gray-code and phase-shift light projection: analysis and compensation of the systematic errors. , 1999, Applied optics.

[25]  Alessandro Rizzi,et al.  Review of Geometric and Radiometric Analyses of Paintings , 2011 .

[26]  Pascal Cotte,et al.  Review of several optical non-destructive analyses of an easel painting. Complementarity and crosschecking of the results , 2011 .

[27]  Luca Uzielli,et al.  Mechanical response of wooden boards subjected to humidity step variations: climatic chamber measurements and fitted mathematical models , 2006 .

[28]  V. Tornari,et al.  Rapid initial dimensional changes in wooden panel paintings due to simulated climate-induced alterations monitored by digital coherent out-of-plane interferometry , 2009 .

[29]  Wolfgang Osten,et al.  Multi-sensor evaluation of a wooden panel painting using terahertz imaging and shearography , 2009, Optical Metrology.

[30]  Franco Lotti,et al.  Image spectroscopy mapping technique for noninvasive analysis of paintings , 1999 .

[32]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..