This document provides information about the International Workshop on Fine Art Pattern Extraction and Recognition. It begins with an opening welcome and introduces the motivations and opportunities for using computer vision and pattern recognition techniques to analyze fine artworks in order to assist preservation and restoration. The workshop schedule is then outlined, including invited talks on understanding, perceiving, and restoring art as well as using computer vision for cultural heritage applications. Information is also provided on submissions to the Journal of Imaging and the invited speaker, Fabio Remondino, who will discuss machine and deep learning methods for semantic segmentation of 3D heritage data.

1. International Workshop on
Fine Art Pattern Extraction and
Recognition
Welcome!
Gennaro Vessio
Giovanna Castellano
Fabio Bellavia

2. Motivations
Fine arts are of inestimable
importance for the cultural,
historical, and economic growth
of our societies
In recent years, due to
technological improvements and
drastic decreases in costs, a
large-scale digitization effort
has been made, leading to a
growing availability of large
digitized fine art collections
The Night Café,
van Gogh, 1888

3. The Triumph of Death (detail),
unknown, 1416
Opportunities
This availability, coupled with
recent advances in pattern
recognition and computer vision,
has opened new opportunities for
computer science researchers to
assist the art community with
automatic tools to analyse and
further understand fine arts,
as well as to support the
restoration and preservation
process of artworks
Guernica (detail),
Pablo Picasso, 1937
Temple of Concordia, Agrigento, Italy

4. Program
➔ 12:00-12:10: Opening Welcome (this one)
➔ 12:10-12:50: Invited Talk
➔ 12:50-13:10: Break
➔ 13:10-14:00: Understanding Art
➔ 14:00-14:15: Break
➔ 14:15-14:55: Perceiving Art
➔ 14:55-15:10: Break
➔ 15:10-16:00: Restoring & Preserving Art

5. Computer Vision for
Cultural Heritage Applications
TC19 gathers computer vision researchers and heritage professionals
Apply computer vision to cultural heritage problems
Define new computer vision problems to work on
Join us! Twitter @cv4cha www.cvl.iis.u-tokyo.ac.jp/IAPR-TC19
Workshops Special issues in Journals Future plans
organized as e-Heritage
(ICCV)
Computer Vision for Cultural Heritage:
Theory and Application (J. Imaging, edited)
new editions of
workshops
endorsed as FAPER (ICPR) Computer Vision and Cultural Heritage (IJCV,
endorsed)
summer school in 2022

6. Journal of Imaging
submission deadline
28 February 2021 !!!

7. Invited Speaker
Fabio Remondino
3DOM FBK - Trento, Italy
https://3dom.fbk.eu/people/profile/remondino
Head of the 3D Optical Metrology (3DOM) research unit at FBK, Trento, Italy
His research interests are in the field of reality-based surveying and 3D
modeling, sensor and data fusion, and 3D data classification. He is working in
all automation aspects of the entire 3D reconstruction pipeline for
applications in the industrial, environmental and heritage field
Today talk: Machine and Deep Learning Methods for
Semantic Segmentation of 3D Heritage Data