Semantic Scholar
Open Access
2021
91 sitasi
Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview
Giovanna Castellano
G. Vessio
Abstrak
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.
Topik & Kata Kunci
Penulis (2)
G
Giovanna Castellano
G
G. Vessio
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Bahasa
- en
- Total Sitasi
- 91×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1007/s00521-021-05893-z
- Akses
- Open Access ✓