IMPORTANT DATES

2021
Journal-first submissions deadline
8 Aug
Priority submissions deadline 30 Jul
Final abstract submissions deadline 15 Oct
Manuscripts due for FastTrack publication
17 Nov

 
Early registration ends 15 Dec


2022
Short Courses
16 Jan
Symposium begins
17 Jan
All proceedings manuscripts due
31 Jan

Computer Vision and Image Analysis of Art 2022

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

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ATTENTION: EI 2022 will occur live ONLINE. 
The program will include a variety of opportunities to interact with colleagues and presenters live, in formal and informal settings. IS&T is committed to providing the best online experience possible and supporting the community in light of travel/reimbursement restrictions. Join us for EI 2022 . . . 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.

2022 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

2022 Special Sessions

TBA

2022 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)

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