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Database Management and Innovative Applications for Imaging Museum Laboratories Ruven Pillay, C2RMF Sauveur Prague, 31 May – 2 June 2006.

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Presentation on theme: "Database Management and Innovative Applications for Imaging Museum Laboratories Ruven Pillay, C2RMF Sauveur Prague, 31 May – 2 June 2006."— Presentation transcript:

1 Database Management and Innovative Applications for Imaging Museum Laboratories Ruven Pillay, C2RMF Sauveur Prague, 31 May – 2 June 2006

2 C2RMF ● Research and Restoration Centre ● Created in 1931 ● Mission to scientifically study, document and preserve works of art from all French museums

3 EU Projects ● 11 projects within the ESPRIT, IMPACT, RAPHAEL, IST and e-CULTURE frameworks since 1989

4 Project Themes ● Advanced Digital Imaging ● Image Analysis ● 3D Imaging/Modeling ● Technical Vocabularies and Ontologies ● Database Management

5 Digital Imaging ● Large historical scientific photo- archive dating back to 1931 ● NARCISSE project in 1989: scanning of photographic archives at 6,000 x 8,000 pixels

6 Multispectral Imaging ● VASARI project ● 7 filter camera (400-700nm) ● 10,000 x 10,000 pixel resolution ● High colour accuracy of ~1dE in CIEL*a*b* colour space ● Custom image processing software, VIPS, developed to handle large images – resused in subsequant projects

7 Multispectral Imaging ● CRISATEL project ● Portable camera ● Higher resolution 20,000 x 12,000 pixels ● Sweeping light system minimizes damage to painting

8 Multispectral Imaging ● 13 interferential dichroic filters 400nm - 1000nm

9 Spectral Reconstruction ● Pigment Identification ● Illuminant simulation

10 3D Imaging ● ACOHIR project ● Panoramic view ● Colour calibrated

11 Panoramic Sequences ● Visible panorama ● X-ray panorama

12 3D Modeling ● SCULPEUR project ● Hardware from ACOHIR ● Volumetric mapping via silhouette extrusion

13 High Definition Models

14 3D Scanning of Paintings ● Laser-based

15 3D Scanning of Paintings

16 Visualization ● VISEUM project ● Exchange of images between institutions ● Tiled Pyramidal TIFF ● Client only requests viewable area ● Tiles dynamically JPEG compressed and then sent to viewer ● Fast viewing with low memory requirements

17 How it works

18

19 Content Based Retreival ● ARTISTE project ● Image recognition ● Classification by colour coherence, spatial distribution etc ● Possible Uses:  Correlate artists to colours used or shapes  Analysis of artist styles  Technique analysis eg knife, brush  Inscription characterisation eg signatures, motifs  Ageing features eg lacuna, cracks, repaints ● Extended to 3D models in SCULPTEUR project

20 Ontologies & Semantic Web ● NARCISSE – first database ● CRISTAL – technical vocabulary definitions and translations into 10 languages ● SCULPTEUR – CIDOC mapping

21 Project Fusion ● Bring project results together ● EROS Multilingual and semantically mapped Database ● Remote viewing of  multispectral images  3D panoramas  3D models ● Search by image similarity ● Database itself becomes a scientific tool for original research

22 EROS Database 20,000 paintings 40,000 objects 10,000 reports, articles etc 15,000 chemical analyses

23 Dissemination ● Open Source  software licenced under GPL where possible ● Allows the work to live on after end of project ● VIPS Image processing  http://vips.sf.nethttp://vips.sf.net ● IIPImage Remote visualization  http://iipimage.sf.nethttp://iipimage.sf.net

24 Thank You


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