Machine Learning Models for Artist Classification of Cultural Heritage Sketches

Machine Learning Models for Artist Classification of Cultural Heritage Sketches

Modern computer vision algorithms allow researchers and art historians to search for artist-characteristic contour extraction from sketches, thus providing accurate input for artwork analysis, for possible assignments and classifications, and also for the identification of the specific stylistic fea...

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Bibliographic Details
Main Authors: Gianina Chirosca, Roxana Rădvan, Silviu Mușat, Matei Pop, Alecsandru Chirosca
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
sketch artist attribution
machine learning
vision-based algorithm evaluation
Faster R-CNN
reinforcement learning
vector database
Online Access:https://www.mdpi.com/2076-3417/15/1/212
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