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  • Workshop on Visualization and Machine Vision

    (My apologies if you've already seen this one)


    CALL FOR PAPERS

    ************************************************** ***************

    IEEE Workshop on Visualization and Machine Vision

    The Westin Hotel, Seattle, Washington June 24, 1994
    (Note: The workshop is a day after CVPR at the same site.
    So researchers can stay an extra day and attend the workshop).

    Sponsored by IEEE Computer Society:
    Pattern Analysis and Machine Intelligence Technical Committee and
    Computer Graphics Technical Committee

    ************************************************** ***************

    Visualization is a rapidly growing discipline, and has become one
    of the most important tools of modern computational science. The
    goal of research in visualization is to extract meaningful
    information from voluminous datasets through the use of imaging
    and interactive graphics. This goal has been made feasible by
    recent advancements in multi-media technology. Computer
    Vision, on the other hand, is concerned with the automatic
    interpretation of images. Thus, both disciplines are
    concerned with computational problems associated with images.

    The aim of this workshop is to explore the synergy between these
    two research areas and identify new applications and promising
    new directions for interdisciplinary research. Some examples of
    such applications are: automated analysis of flow visualization
    images, fusion of multiple images and visualization of medical
    images.

    In many such applications, computer vision may be used to aid and
    complement human analysis. For example, computer vision may be
    applied for selective visualization, where the image display is
    preceded by image analysis to isolate regions of interest in the
    data. Such regions of interest could be edges in data, or areas
    around singularities. Techniques such as edge detection and
    segmentation could be extended to data that are not necessarily
    visual, e.g. financial or geographic data.

    Computer vision could benefit from techniques developed in
    visualization, such as the fusion of multiple images for display,
    visualization of reconstruction techniques, display of multi-
    dimensional vector fields, etc.

    We invite both theoretical and application oriented papers
    exploring any aspect of the interaction between these two
    disciplines. Suggested topics are listed below. This list is not
    exhaustive and other relevant papers are welcome.


    SUGGESTED TOPICS

    Fusion of multiple images Geographical data analysis
    Flow visualization Medical Imaging
    Financial data analysis Image databases
    Multimedia techniques Integration of multiple views
    Marine imaging Interactive segmentation
    Visualization of reconstruction techniques
    Evaluation of visualization techniques
    3-d in segmentation for visualization
    Analysis of test and measurement data
    Quantitative machine vision techniques


    PAPER SUBMISSION
    Four copies of complete manuscript should be received by
    December 13, 1993 at the address: A. Ravishankar Rao,
    IBM Research, P.O. Box 218, Yorktown Heights, NY 10598, USA.
    Please include the following
    (a) A title page containing the names and addresses of
    the authors (including e-mail), and abstract of up to 200 words.
    (b) A second page with title and abstract only (no author names).
    (c) Paper -- limited to 25 double spaced pages (12 points, 1 inch
    margins).


    PROGRAM CHAIR PROGRAM CO-CHAIR
    A. Ravishankar Rao Ramesh Jain
    IBM Research Electrical and Computer Engineering Dept.
    P.O. Box 218 University of California at San Diego
    Yorktown Hts. NY 10598 La Jolla, CA 92093
    rao@watson.ibm.com jain@ece.ucsd.edu

    PROGRAM COMMITTEE

    Rabi Dutta, Univ. Massachusetts, Amherst Todd Elvins, U.C. San Diego
    Thomas Huang, U. of Illinois, Urbana Arie Kaufman, SUNY Stonybrook
    Shih-Ping Liou, Siemens Inc. Robin Strickland, U. Arizona
    Demetri Terzopoulos, Univ. Toronto
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