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Spatiogram features to characterize pearls in paintings

Ljiljana Platisa UGent, Bruno Cornelis, Tijana Ruzic UGent, Aleksandra Pizurica UGent, Ann Dooms, Maximiliaan Martens UGent, Marc De Mey UGent and Ingrid Daubechies (2011) IEEE International Conference on Image Processing ICIP. p.801-804
abstract
Objective characterization of jewels in paintings, especially pearls, has been a long lasting challenge for art historians. The way an artist painted pearls reflects his ability to observing nature and his knowledge of contemporary optical theory. Moreover, the painterly execution may also be considered as an individual characteristic useful in distinguishing hands. In this work, we propose a set of image analysis techniques to analyze and measure spatial characteristics of the digital images of pearls, all relying on the so called spatiogram image representation. Our experimental results demonstrate good correlation between the new metrics and the visually observed image features, and also capture the degree of realism of the visual appearance in the painting. In that sense, these results set the basis in creating a practical tool for art historical attribution and give strong motivation for further investigations in this direction.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
content similarity, spatiograms, histograms, image analysis, Ghent Altarpiece
in
IEEE International Conference on Image Processing ICIP
issue title
2011 18th IEEE international conference on image processing (ICIP)
pages
801 - 804
publisher
IEEE
place of publication
New York, NY, USA
conference name
18th IEEE International conference on Image Processing (ICIP 2011)
conference location
Brussels, Belgium
conference start
2011-09-11
conference end
2011-09-14
Web of Science type
Proceedings Paper
Web of Science id
000298962500201
ISSN
1522-4880
ISBN
9781457713026
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1924899
handle
http://hdl.handle.net/1854/LU-1924899
date created
2011-10-12 15:42:33
date last changed
2012-11-13 16:35:27
@inproceedings{1924899,
  abstract     = {Objective characterization of jewels in paintings, especially pearls, has been a long lasting challenge for art historians. The way an artist painted pearls reflects his ability to observing nature and his knowledge of contemporary optical theory. Moreover, the painterly execution may also be considered as an individual characteristic useful in distinguishing hands. In this work, we propose a set of image analysis techniques to analyze and measure spatial characteristics of the digital images of pearls, all relying on the so called spatiogram image representation. Our experimental results demonstrate good correlation between the new metrics and the visually observed image features, and also capture the degree of realism of the visual appearance in the painting. In that sense, these results set the basis in creating a practical tool for art historical attribution and give strong motivation for further investigations in this direction.},
  author       = {Platisa, Ljiljana and Cornelis, Bruno  and Ruzic, Tijana and Pizurica, Aleksandra and Dooms, Ann and Martens, Maximiliaan and De Mey, Marc and Daubechies, Ingrid},
  booktitle    = {IEEE International Conference on Image Processing ICIP},
  isbn         = {9781457713026},
  issn         = {1522-4880},
  keyword      = {content similarity,spatiograms,histograms,image analysis,Ghent Altarpiece},
  language     = {eng},
  location     = {Brussels, Belgium},
  pages        = {801--804},
  publisher    = {IEEE},
  title        = {Spatiogram features to characterize pearls in paintings},
  year         = {2011},
}

Chicago
Platisa, Ljiljana, Bruno Cornelis, Tijana Ruzic, Aleksandra Pizurica, Ann Dooms, Maximiliaan Martens, Marc De Mey, and Ingrid Daubechies. 2011. “Spatiogram Features to Characterize Pearls in Paintings.” In IEEE International Conference on Image Processing ICIP, 801–804. New York, NY, USA: IEEE.
APA
Platisa, L., Cornelis, B., Ruzic, T., Pizurica, A., Dooms, A., Martens, M., De Mey, M., et al. (2011). Spatiogram features to characterize pearls in paintings. IEEE International Conference on Image Processing ICIP (pp. 801–804). Presented at the 18th IEEE International conference on Image Processing (ICIP 2011), New York, NY, USA: IEEE.
Vancouver
1.
Platisa L, Cornelis B, Ruzic T, Pizurica A, Dooms A, Martens M, et al. Spatiogram features to characterize pearls in paintings. IEEE International Conference on Image Processing ICIP. New York, NY, USA: IEEE; 2011. p. 801–4.
MLA
Platisa, Ljiljana, Bruno Cornelis, Tijana Ruzic, et al. “Spatiogram Features to Characterize Pearls in Paintings.” IEEE International Conference on Image Processing ICIP. New York, NY, USA: IEEE, 2011. 801–804. Print.