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Subject: Call for papers--Symposium on computer vision and image analysis in the study of art

Call for papers--Symposium on computer vision and image analysis in the study of art

From: Jim Coddington <jim_coddington>
Date: Friday, May 11, 2007
SPIE symposium
Computer image analysis in the study of art (EI122)
Part of the IS&T/SPIE International Symposium on Electronic Imaging
January 27-31, 2008
San Jose Convention Center
San Jose, California USA


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Conference Chairs:

    David G. Stork
    Ricoh Innovations, Inc.

    Jim Coddington
    Museum of Modern Art

Program Committee: Anna Bentkowska-Kafel, Courtauld Institute of
Art; Peter P. Biro, Forensic Studies in Art (Canada); Guidomaria
Cortelazzo, Univ. degli Studi di Padova (Italy); Charles R. Dyer,
Univ. of Wisconsin/Madison; Roger L. Easton, Jr., Rochester
Institute of Technology; Irfan Essa, Massachusetts Institute of
Technology; Katherine Jones-Smith, Case Western Reserve Univ.;
Christian Lahanier, Ctr. de recherche et de restauration des musees
de France (France); Kirk Martinez, Univ. of Southampton (United
Kingdom); Daniel N. Rockmore, Dartmouth College; Silvio Savarese,
Univ. of Illinois; Stefano Soatto, Univ. of California/Los Angeles

Post-Meeting Proceedings Due Dates:

Abstract (500 words) Due: 16 July 2007
Final Summary (200 words): 19 November 2007
Manuscript Due: 7 January 2008

This inaugural conference on computer image analysis in the study of
the art will present 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, for example:  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 chair 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
symposium will focus on analysis, rather than on image acquisition
or digital archiving of artistic works.

A key goal of this symposium 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.

Papers will be judged on the quality of the research methodology,
the rigor of the analysis of the algorithms, the novelty and
anticipated usefulness of the approaches, the clarity of the
scholarly presentation, and most importantly the relevance of the
work to our understanding of visual arts such as prints and
paintings, in both realist and abstract vernaculars.

Computer methods

    *   multi-spectral imaging and color transformations
    *   perspective analysis
    *   brushstroke analysis
    *   style analysis
    *   shape from shading
    *   three-dimensional reconstruction of spaces from multiple
    *   wavelet and multiscale analysis
    *   fractal analysis
    *   pattern classification
    *   inferring illumination within depicted scenes
    *   inferring artist ("camera") models
    *   shape analysis

and more.

Art historical 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
    *   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
    *   dewarping anamorphic, distorted or panoramic artwork
    *   dewarping 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

and more.

                  Conservation DistList Instance 21:4
                   Distributed: Friday, May 11, 2007
                        Message Id: cdl-21-4-011
Received on Friday, 11 May, 2007

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