Automatic Classification of Fresco Fragments: A Machine and Deep Learning Study-Reference-Cited by-同舟云学术

Automatic Classification of Fresco Fragments: A Machine and Deep Learning Study

Published:2022 Issue: Volume: Page:701-712
ISSN:0302-9743
Container-title:Image Analysis and Processing – ICIAP 2022
language:
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Author:

Cascone Lucia^ORCID,Dondi Piercarlo^ORCID,Lombardi Luca^ORCID,Narducci Fabio^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-06427-2_58

Reference26 articles.

1. Abate, D.: FRAGMENTS: a fully automatic photogrammetric fragments recomposition workflow. J. Cult. Herit. 47, 155–165 (2021). https://doi.org/10.1016/j.culher.2020.09.015

2. Arora, R.S., Elgammal, A.: Towards automated classification of fine-art painting style: a comparative study. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012), pp. 3541–3544 (2012)

3. Barra, P., Barra, S., Nappi, M., Narducci, F.: SAFFO: a SIFT based approach for digital anastylosis for fresco reconstruction. Pattern Recogn. Lett. 138, 123–129 (2020). https://doi.org/10.1016/j.patrec.2020.07.008

4. Cetinic, E., Lipic, T., Grgic, S.: Fine-tuning convolutional neural networks for fine art classification. Expert Syst. Appl. 114, 107–118 (2018). https://doi.org/10.1016/j.eswa.2018.07.026

5. Cetinic, E., Lipic, T., Grgic, S.: Learning the principles of art history with convolutional neural networks. Pattern Recogn. Lett. 129, 56–62 (2020). https://doi.org/10.1016/j.patrec.2019.11.008

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