CITATION.cff

cff-version: 1.2.0
title: >-
  Can we date an artist's work from catalogue
  photographs?
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
- family-names: "Brown"
  given-names: "Alexander David"
  affiliation: Aberystwyth University
- family-names: "Roderick"
  given-names: "Gareth Lloyd"
- family-names: "Dee"
  given-names: "Hannah Mary"
  orcid: "https://orcid.org/0000-0003-2573-9541"
- family-names: "Hughs"
  given-names: "Lorna M."
  orcid: "https://orcid.org/0000-0001-8928-0341"
version: 1.0.0
identifiers:
  - type: doi
    value: 10.1109/ISPA.2013.6703803
date-released: 2013-09-05
url: "https://github.com/SoftlySplinter/kyffin-digital-analysis"
abstract: >-
  Computer vision has addressed many problems in art,
  but has not yet looked in detail at the way
  artistic style can develop and evolve over the
  course of an artist's career. In this paper we take
  a computational approach to modelling stylistic
  change in the body of work amassed by Sir John
  “Kyffin” Williams, a nationally renowned and
  prolific Welsh artist. Using images gathered from
  catalogues and online sources, we use a
  leave-one-out methodology to classify paintings by
  year; despite the variation in image source, size,
  and quality we are able to obtain significant
  correlations between predicted year and actual
  year, and we are able to guess the age of the
  painting within 15 years, for around 70% of our
  dataset. We also investigate the incorporation of
  expert knowledge within this framework by
  consdering a subset of paintings chosen as
  exemplars by a scholar familiar with Williams'
  work.
keywords:
  - Painting
  - Image color analysis
  - Histograms
  - Art
  - Image edge detection
  - Libraries
  - Correlation