• DocumentCode
    2266988
  • Title

    Digital painting analysis, at the cross section of engineering, mathematics and culture

  • Author

    Cornelis, Bruno ; Dooms, Ann ; Cornelis, Jan ; Leen, Frederik ; Schelkens, Peter

  • Author_Institution
    Dept. of Electron. & Inf. (ETRO), Vrije Univ. Brussels (VUB), Brussels, Belgium
  • fYear
    2011
  • fDate
    Aug. 29 2011-Sept. 2 2011
  • Firstpage
    1254
  • Lastpage
    1258
  • Abstract
    Museums started digitizing their collections, mainly for preservation, documentation and dissemination purposes, but one can go further than archival: digital acquisition enables digital analysis of art and in particular paintings. This proves to be a useful, non invasive tool, for many applications such as restoration, conservation, art history, material and structure characterization, authentication, dating and even style analysis. Paintings are complex structures. Analysis of the support and all pictorial layers requires multimodal imaging, high resolution and standardized data acquisition. We situate our own research on canvas characterization, craquelure detection, multispectral data analysis, object extraction and image enhancement within the state of the art.
  • Keywords
    art; data acquisition; data analysis; image enhancement; image resolution; museums; spectral analysis; art; canvas characterization; craquelure detection; digital acquisition; digital analysis; high resolution standardized data acquisition; image enhancement; multimodal imaging; multispectral data analysis; museum dissemination; museum documentation; museum preservation; object extraction; paintings; pictorial layers; Art; Digital images; Image color analysis; Image resolution; Image restoration; Imaging; Painting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2011 19th European
  • Conference_Location
    Barcelona
  • ISSN
    2076-1465
  • Type

    conf

  • Filename
    7073997