GPU Spectral Viewer: Analysing Paintings from a Colorimetric Perspective
| dc.contributor.author | Colantoni, Philippe | en_US |
| dc.contributor.author | Pitzalis, Denis | en_US |
| dc.contributor.author | Pillay, Ruven | en_US |
| dc.contributor.author | Aitken, Genevieve | en_US |
| dc.contributor.editor | D. Arnold and F. Niccolucci and A. Chalmers | en_US |
| dc.date.accessioned | 2014-01-31T15:18:31Z | |
| dc.date.available | 2014-01-31T15:18:31Z | |
| dc.date.issued | 2007 | en_US |
| dc.description.abstract | Over the last fifteen years, multipsectral imaging has gained in importance and interest, especially in the field of Cultural Heritage, art investigation and conservation. Extending the concept of scientific imagery such as colorimetric, infrared reflectography (IRR), ultraviolet (UV) and X-ray imaging applied to the study of paintings, multispectral imaging, coupled with high resolution and HDR (high dynamic range) has significantly improved the scope and accuracy of the non-invasive scientific analysis that is possible. In order to exploit and study such multispectral data, a special GPU-based application using a custom color management process has been developed. In this paper we will present its innovative capabilities in image processing and visualization which enhance the study of works of art. | en_US |
| dc.description.seriesinformation | VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage | en_US |
| dc.identifier.isbn | 978-3-905674-01-9 | en_US |
| dc.identifier.issn | 1811-864X | en_US |
| dc.identifier.uri | https://doi.org/10.2312/VAST/VAST07/125-132 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.4.0 [Image Processing and Computer Vision]: Image processing software | en_US |
| dc.title | GPU Spectral Viewer: Analysing Paintings from a Colorimetric Perspective | en_US |
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