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Geometrical Models of Old Curvilinear Paintings

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Computer Vision and Graphics (ICCVG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8671))

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Abstract

The presented research is based on the on-site geometrical measurements analysis related to conservation works of the canvas “Adoration of the Magi” carried out in the Saint Aubain cathedral in Namur (Belgium). The paper presents considerations related to geometrical modeling of the painting shape based on 3D point cloud measurements and experimental and theoretical analysis of fundamentals of stretching of large curvilinear canvas. The considerations can be extended to multi-surface curvilinear canvas paintings.

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References

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Author information

Authors and Affiliations

  1. Institute of Fundamental Technological Research Polish Academy of Sciences, Pawińskiego 5b, 02-106, Warsaw, Poland

    Marek Skłodowski & Piotr Pawłowski

  2. Faculty of Conservation and Restoration of Art, Academy of Fine Arts in Warsaw, Wybrzeże Kościuszkowskie 37, 00-379, Warsaw, Poland

    Katarzyna Górecka

Authors
  1. Marek Skłodowski
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  2. Piotr Pawłowski
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  3. Katarzyna Górecka
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Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences (SGGW), Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences - SGGW, Nowoursynowska str. 159, 02-776, Warsaw, Poland

    Ryszard Kozera

  3. The .enpeda.. Project, The University of Auckland, New Zealand

    Bok-Suk Shin

  4. Institute of Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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© 2014 Springer International Publishing Switzerland

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Skłodowski, M., Pawłowski, P., Górecka, K. (2014). Geometrical Models of Old Curvilinear Paintings. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_69

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  • DOI: https://doi.org/10.1007/978-3-319-11331-9_69

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11330-2

  • Online ISBN: 978-3-319-11331-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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