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- Title
Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview.
- Authors
Castellano, Giovanna; Vessio, Gennaro
- Abstract
This paper provides an overview of some of the most relevant deep learning approaches to pattern extraction and recognition in visual arts, particularly painting and drawing. 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 analyse 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, ultimately supporting the spread of culture.
- Subjects
DEEP learning; ART &; society; COMPUTER vision; ART; COMPUTER science
- Publication
Neural Computing & Applications, 2021, Vol 33, Issue 19, p12263
- ISSN
0941-0643
- Publication type
Article
- DOI
10.1007/s00521-021-05893-z