Statistical Inferences on Shape Manifolds

May 6 to May 9, 2005

at the

American Institute of Mathematics, Palo Alto, California

organized by

Washington Mio, David Mumford, and Anuj Srivastava

This workshop, sponsored by AIM and the NSF, will be devoted to algorithmic and computational shape analysis. It will bring together researchers in the field of shape analysis to identify and discuss outstanding issues in algorithmic shape representation, statistical inferences on shape manifolds, and applications to areas such as medical imaging, homeland security and military target recognition.

Algorithmic shape analysis has a multidisciplinary nature, so the workshop will seek to promote interaction and foster the development of new collaborations among researchers with expertise in mathematics, statistics and image analysis. The main topics for the workshop are:

The workshop will differ from typical conferences in some regards. Participants will be invited to suggest open problems and questions before the workshop begins, and these will be posted on the workshop website. These include specific problems on which there is hope of making some progress during the workshop, as well as more ambitious problems which may influence the future activity of the field. Lectures at the workshop will be focused on familiarizing the participants with the background material leading up to specific problems, and the schedule will include discussion and working sessions.

Participants include D. Arnold, Y. Cao, J. Carter, D. Cremers, M. Feiszli, P. Giblin, P. Golland, U. Grenander, D. Groisser, W. Guo, S. Joshi, J. Kaplan, D. Kaziska, J. Kent, N.-A. Khumbah, B. Kimia, K. Leonard, K. Mardia, M. Micheli, P. Michor, M. Miller, W. Mio, D. Mumford, K. Nordstrom, V. Patrangenaru, E. Sharon, S. Soatto, A. Srivastava, K. Stephenson, A. Trouve, N. Vaswani, A. Yezzi, E. Younes, and J. Zerubia.

The deadline to apply for support to participate in this workshop has passed.

For more information email

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