Image Processing for Artist Identification - Computerized Analysis of Vincent van Gogh's Painting Brushstrokes - Robotics Institute Carnegie Mellon University

Image Processing for Artist Identification – Computerized Analysis of Vincent van Gogh’s Painting Brushstrokes

C. Richard Johnson, Ella Hendriks, Igor Berezhnoy, Eugene Brevdo, Shannon Hughes, Ingrid Daubechies, Jia Li, Eric Postma, and James Z. Wang
Journal Article, IEEE Signal Processing Magazine, Vol. 25, No. 4, pp. 37 - 48, July, 2008

Abstract

A survey of the literature reveals that image processing tools aimed at supplementing the art historian's toolbox are currently in the earliest stages of development. To jump-start the development of such methods, the Van Gogh and Kroller-Muller museums in The Netherlands agreed to make a data set of 101 high-resolution gray-scale scans of paintings within their collections available to groups of image processing researchers from several different universities. This article describes the approaches to brushwork analysis and artist identification developed by three research groups, within the framework of this data set.

BibTeX

@article{Johnson-2008-10028,
author = {C. Richard Johnson and Ella Hendriks and Igor Berezhnoy and Eugene Brevdo and Shannon Hughes and Ingrid Daubechies and Jia Li and Eric Postma and James Z. Wang},
title = {Image Processing for Artist Identification - Computerized Analysis of Vincent van Gogh's Painting Brushstrokes},
journal = {IEEE Signal Processing Magazine},
year = {2008},
month = {July},
volume = {25},
number = {4},
pages = {37 - 48},
keywords = {paintings, Vincent van Gogh, image analysis},
}