kyffin-digital-analysis
2012-13 Dissertation
Science Score: 44.0%
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Low similarity (3.0%) to scientific vocabulary
Repository
2012-13 Dissertation
Basic Info
- Host: GitHub
- Owner: SoftlySplinter
- Language: Python
- Default Branch: master
- Size: 245 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 2
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Kyffin Williams: Digital Analysis of Paintings.
Sir John “Kyffin” Williams was a landscape painter from Wales who’s work was predominantly based in Wales and Patagonia. His work, and associated metadata collected by the National Library ofWales, allows for some inter esting analysis; particularly that of temporal or geological data for a given painting.
Temporal analysis will be the focus of this project as it allows for a diverse range of techniques; from statistical analysis of RGB values of the paintings to looking at the length and style of paintbrush strokes. The ultimate aim of this being to accurately place the year of a given painting which has no metadata collected.
Owner
- Name: Alex Brown
- Login: SoftlySplinter
- Kind: user
- Location: Hampshire, U.K.
- Company: IBM
- Website: http://blog.alexanderdbrown.com
- Repositories: 81
- Profile: https://github.com/SoftlySplinter
CICS Developer (@cicsdev) in the Java team.
Citation (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
GitHub Events
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Dependencies
- flask *
- liac-arff *
- matplotlib *
- scipy *