Abstract submission opens
1 June
 Registration opens Coming Soon
 Final submission deadline 7 Oct
 Manuscripts due for FastTrack
23 Nov

 Early registration ends 4 Jan
 Short Courses begin
11 Jan
 Symposium begins
18 Jan
 All manuscripts due
8 Feb

Computer Vision and Image Analysis of Art 2021

Conference keywords: computer image analysis of art, paintings, prints, drawings: multi-spectral imaging, computer vision, fractal analysis; cultural heritage and conservation applications: perspective analysis, color analysis, lighting analysis, brush stroke analysis, artist identification, forgery detection, and pattern recognition

On this page

ATTENTION: We're pleased to announce that EI 2021 will be fully online! We recognize that one of the most important features of attending EI is interacting with colleagues from Industry and Academia. We are committed to making community connection a priority and to providing ample opportunities to meet and discuss personally with others. We see the move to an online platform as an opportunity for greater numbers of people to join from around the world. Join us on this exciting adventure . . . submit your work today!

Conference Overview

This conference on computer image analysis in the study of art presents leading research in the application of image analysis, computer vision, and pattern recognition to problems of interest to art historians, curators and conservators.

A number of recent questions and controversies have highlighted the value of rigorous image analysis in the service of the analysis of art, particularly painting. Consider these examples: the fractal image analysis for the authentication of drip paintings possibly by Jackson Pollock; sophisticated perspective, shading and form analysis to address claims that early Renaissance masters such as Jan van Eyck or Baroque masters such as Georges de la Tour traced optically projected images; automatic multi-scale analysis of brushstrokes for the attribution of portraits within a painting by Perugino; and multi-spectral, x-ray and infra-red scanning and image analysis of the Mona Lisa to reveal the painting techniques of Leonardo. The value of image analysis to these and other questions strongly suggests that current and future computer methods will play an ever larger role in the scholarship of visual arts.

The conference chairs and program committee invite high-quality submissions of papers discussing new results in the following and related topics: image analysis of perspective, brushstrokes, form color and multi-spectral images for attribution and dating; color modeling and manipulation for predicting the effects of conservation treatments; image de-warping to reveal undistorted images from anamorphic art or depictions of reflections in curved mirrors. This conference will focus on analysis, rather than on image acquisition or digital archiving of artistic works. A key goal of this conference is to foster dialog and collaboration between image scientists and humanists; as such, interdisciplinary teams of authors (scientists and art specialists) are especially encouraged to submit papers.

2021 Conference Topics

Computer Methods

  • Multi-spectral imaging and color transformations
  • Perspective analysis
  • Brushstroke analysis
  • Style analysis
  • Shape from shading
  • Three-dimensional reconstruction of spaces from multiple images
  • Wavelet and multiscale analysis
  • Fractal analysis
  • Pattern classification
  • Inferring illumination within depicted scenes
  • Inferring artist ('camera') models
  • Shape analysis

Art History Questions

  • Authentication and detection of forgeries
  • Dating of artwork
  • 'Reverse aging' of faded artworks such as tapestries to recover original colors
  • Predicting color changes of paintings due to conservation treatment
  • Reconstructing spaces depicted in artworks
  • Separation and enhancement of overlaid images as in paintings with underdrawings and in palimpsests
  • Inferring artists' techniques, aids, and praxis based on image evidence
  • De-warping anamorphic, distorted or panoramic artwork
  • De-warping of distorted passages depicted within artwork
  • Geometrical transformations for re-presenting curved art
  • Completing missing or damaged passages in paintings
  • Image understanding in realist paintings
  • Metrology in artistic imagery
  • Quantifying trends in artistic images throughout an artist's career

2021 Special Sessions


2021 Committee

Conference Chairs

David G. Stork, consultant (United States)
Kurt Heumiller, Museum of Modern Art (United States)

Program Committee

Ahmed Elgamal, Rutgers University (United States)
Nica Gutman Rieppi, Art Analysis and Research, LLC (United States)
Emily L. Spratt, Columbia University (United States)
Christopher W. Tyler, Smith Kettlewell Eye Institute (United States)

No content found

No content found

No content found