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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
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