Statistical and Computational Theories of Vision

-- Modeling, Learning, Computing, and Sampling

Fort Collins, Colorado, June 22, 1999

(The day before CVPR99 )

Selected papers will be published in a special issue of

Int'l Journal of Computer Vision


Goals and Scope

This workshop will provide an international forum for discussing recent advances in the statistical and computational theories of vision. It will brings together highly respected researchers from computer vision, mathematics, statistics, information theory, and psychology to address key issues in Bayesian image analysis, such as

  • Advanced theories for statistical modeling,
  • Advanced theories for visual learning,
  • Advanced techniques for efficient computation and search,
  • Advanced techniques for Markov chain Monte Carlo Sampling.
  • Advanced theory for performce bound.

  • Original papers are solicited on topics including, but are not limited to:

  • Analyzing the statistics of natural imagery and patterns.
  • Statistical modeling of natural patterns (textures, shapes, biometrics...)
  • Statistical modeling of clutter and sensor noise.
  • Statistical modeling of scenes.
  • Visual learning, model estimation and model selection.
  • Information theoretic principles in computer vision, such as
    max. entropy, max. mutual info., minimax entropy,...
  • Markov chain Monte Carlo sampling methods, such as
    Importance sampling, stochastic diffusion, jump-diffusion, multi-try metropolis, IWIW,...
  • Algorithms for efficient computation and search, such as
    graph partitioning, 20-questions, Markov tree, dynamic search,...
  • Performance bounds, order numbers, measure of scene complexity.
  • Scene representation and graph matching.
  • Bayes network.
  • Data Fusion.
  • Image Warping.
  • Pattern theory.
  • Applications: image segmentation, perceptual organization, object recognition, motion analysis and tracking, medical images, ...

    Organizing Committee :

    Song-Chun Zhu, Alan Yuille, David Mumford

    Program Committee :

    Edward Adelson, Yali Amit, Peter Belhumeur,
    Michael Black, Andrew Blake, Sven Dickinson,
    Byron Dom, David Forsyth, David Heeger,
    Davi Geiger, Donald Geman, Basilis Gidas,
    Daniel Kersten, Yann LeCun, Jitendra Malik,
    Kanti Mardia, Michael Miller, Anand Rangarajan,
    James Rehg, Eero Simoncelli, Richard Szeliski,
    Paul Viola, Yingnian Wu, Jun Zhang.

    Important Dates:

    Paper submission deadline: March 1, 1999
    Notification of acceptance: May 1, 1999

    Submission of Papers:

    Prospective authors are invited to submit papers to the following address. The submission includes

  • One cover page with title, author names and address.
  • Four copies of manuscript, no longer than 25 pages including figures and references.
    Please keep the author's name blind to the reviewers in the manuscripts.

    Prof. Song-Chun Zhu
    Dept. of Computer and Information Science
    The Ohio State University
    2015 Neil Avenue
    Columbus, OH 43210

    Remark: this workshop is aimed at very high quality presentation and publication.
    Selected papers will be published in a special issue of Int'l Journal of Computer Vision.