Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network

This paper presents a deep learning-based system designed for generating, storing, and retrieving embeddings, specifically tailored for analyzing craquelure networks in paintings. Craquelure, the fine pattern of the craquelure network formed on a painting’s surface over time, is a unique “fingerprin...

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Veröffentlicht in:	Applied sciences Jg. 15; H. 16; S. 9014
Hauptverfasser:	Chirosca, Gianina, Radvan, Roxana, Pop, Matei, Chirosca, Alecsandru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2025
Schlagworte:	Climate change Computational linguistics Computer vision convolutional neural networks Cracks craquelure detection Cultural heritage Deep learning image processing Language processing Machine learning Morphology Natural language interfaces Neural networks
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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