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2021 | OriginalPaper | Buchkapitel

A Brief Overview of Deep Learning Approaches to Pattern Extraction and Recognition in Paintings and Drawings

verfasst von : Giovanna Castellano, Gennaro Vessio

Erschienen in: Pattern Recognition. ICPR International Workshops and Challenges

Verlag: Springer International Publishing

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Abstract

This paper provides a brief overview of some of the most relevant deep learning approaches to visual art pattern extraction and recognition, particularly painting and drawing. Indeed, recent advances in deep learning and computer vision, coupled with the growing availability of large digitized visual art collections, have opened new opportunities for computer science researchers to assist the art community with automatic tools to analyze and further understand visual arts. Among other benefits, a deeper understanding of visual arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture.

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Titel: A Brief Overview of Deep Learning Approaches to Pattern Extraction and Recognition in Paintings and Drawings
verfasst von: Giovanna Castellano
Gennaro Vessio
Verlag: Springer International Publishing
Buch: Pattern Recognition. ICPR International Workshops and Challenges
Print ISBN: 978-3-030-68795-3

Electronic ISBN: 978-3-030-68796-0

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-68796-0_35

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