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Keywords = sketch artist attribution

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17 pages, 6879 KiB  
Article
Machine Learning Models for Artist Classification of Cultural Heritage Sketches
by Gianina Chirosca, Roxana Rădvan, Silviu Mușat, Matei Pop and Alecsandru Chirosca
Appl. Sci. 2025, 15(1), 212; https://doi.org/10.3390/app15010212 - 30 Dec 2024
Cited by 1 | Viewed by 1284
Abstract
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 features. We approach this challenging [...] Read more.
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 features. We approach this challenging task with three machine learning algorithms and evaluate their performance on a small collection of images from five distinct artists. These algorithms aim to find the most appropriate artist for a sketch (or a contour of a sketch), with promising results that have a higher level of confidence (around 92%). Models start from common Faster R-CNN architectures, reinforcement learning, and vector extraction tools. The proposed tool provides a base for future improvements to create a tool that aids artwork evaluators. Full article
(This article belongs to the Special Issue Applications in Computer Vision and Image Processing)
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