Light calibration and quality assessment methods for Reflectance Transformation Imaging applied to artworks' analysis
Andrea Giachetti, Claudia Daffara, Carlo Reghelin, Enrico Gobbetti, and Ruggero Pintus
2015
Abstract
In this paper we analyze some problems related to the acquisition of multiple illumination images for Polynomial Texture Maps (PTM) or generic Reflectance Transform Imaging (RTI). We show that intensity and directionality nonuniformity can be a relevant issue when acquiring manual sets of images with the standard highlight-based setup both using a flash lamp and a LED light. To maintain a cheap and flexible acquisition setup that can be used on field and by non-experienced users we propose to use a dynamic calibration and correction of the lights based on multiple intensity and direction estimation around the imaged object during the acquisition. Preliminary tests on the results obtained have been performed by acquiring a specifically designed 3D printed pattern in order to see the accuracy of the acquisition obtained both for spatial discrimination of small structures and normal estimation, and on samples of different types of paper in order to evaluate material discrimination. We plan to design and build from our analysis and from the tools developed and under development a set of novel procedures and guidelines that can be used to turn the cheap and common RTI acquisition setup from a simple way to enrich object visualization into a powerful method for extracting quantitative characterization both of surface geometry and of reflective properties of different materials. These results could have relevant applications in the Cultural Heritage domain, in order to recognize different materials used in paintings or investigate the ageing status of artifacts' surface.
Reference and download information
Andrea Giachetti, Claudia Daffara, Carlo Reghelin, Enrico Gobbetti, and Ruggero Pintus. Light calibration and quality assessment methods for Reflectance Transformation Imaging applied to artworks' analysis. In Proc. SPIE. Volume 9527. Pages 95270B:95270B-10, 2015. DOI: 10.1117/12.2184761.
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Bibtex citation record
@InProceedings{Giachetti:2015:LCQ, author = {Andrea Giachetti and Claudia Daffara and Carlo Reghelin and Enrico Gobbetti and Ruggero Pintus}, title = {Light calibration and quality assessment methods for Reflectance Transformation Imaging applied to artworks' analysis}, booktitle = {Proc. SPIE}, volume = {9527}, pages = {95270B:95270B-10}, year = {2015}, abstract = { In this paper we analyze some problems related to the acquisition of multiple illumination images for Polynomial Texture Maps (PTM) or generic Reflectance Transform Imaging (RTI). We show that intensity and directionality nonuniformity can be a relevant issue when acquiring manual sets of images with the standard highlight-based setup both using a flash lamp and a LED light. To maintain a cheap and flexible acquisition setup that can be used on field and by non-experienced users we propose to use a dynamic calibration and correction of the lights based on multiple intensity and direction estimation around the imaged object during the acquisition. Preliminary tests on the results obtained have been performed by acquiring a specifically designed 3D printed pattern in order to see the accuracy of the acquisition obtained both for spatial discrimination of small structures and normal estimation, and on samples of different types of paper in order to evaluate material discrimination. We plan to design and build from our analysis and from the tools developed and under development a set of novel procedures and guidelines that can be used to turn the cheap and common RTI acquisition setup from a simple way to enrich object visualization into a powerful method for extracting quantitative characterization both of surface geometry and of reflective properties of different materials. These results could have relevant applications in the Cultural Heritage domain, in order to recognize different materials used in paintings or investigate the ageing status of artifacts' surface. }, doi = {10.1117/12.2184761}, url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Giachetti:2015:LCQ'}, }
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