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Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece

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Please use this url to cite or link to this publication:

Chicago
Meeus, Laurens, Shaoguang Huang, Bart Devolder, Maximiliaan Martens, and Aleksandra Pizurica. 2018. “Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece.” In Image Processing for Art Investigation (IP4AI), 30–32. Gent, Belgium.
APA
Meeus, L., Huang, S., Devolder, B., Martens, M., & Pizurica, A. (2018). Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece. Image Processing for Art Investigation (IP4AI) (pp. 30–32). Gent, Belgium.
Vancouver
1.
Meeus L, Huang S, Devolder B, Martens M, Pizurica A. Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece. Image Processing for Art Investigation (IP4AI). Gent, Belgium; 2018. p. 30–2.
MLA
Meeus, Laurens, Shaoguang Huang, Bart Devolder, et al. “Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece.” Image Processing for Art Investigation (IP4AI). Gent, Belgium, 2018. 30–32. Print.
@inproceedings{8577702,
  author       = {Meeus, Laurens and Huang, Shaoguang and Devolder, Bart and Martens, Maximiliaan and Pizurica, Aleksandra},
  booktitle    = {Image Processing for Art Investigation (IP4AI)},
  language     = {eng},
  pages        = {30--32},
  title        = {Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece},
  url          = {https://www.ip4ai.ugent.be/IP4AI2018\_proceedings.pdf},
  year         = {2018},
}