Statistical Models

Thursday, April 6, 2006 - 4:00pm - 5:00pm
Tim Cootes (University of Manchester)
No abstract.
Friday, April 7, 2006 - 10:30am - 11:00am
Namrata Vaswani (Iowa State University)
no abstract
Wednesday, April 5, 2006 - 1:30pm - 2:30pm
Sarang Joshi (University of North Carolina, Chapel Hill)
A primary goal of Computational Anatomy is the statistical
analysis of anatomical variability. A
natural question that arises is how dose one define the image of an Average
Anatomy given a collection of anatomical images. Such
an average image must represent the intrinsic geometric anatomical variability
present. Large Deformation Diffeomorphic
transformations have been shown to accommodate the geometric variability but
performing statistics of Diffeomorphic transformations remains a challenge. Standard
Tuesday, April 4, 2006 - 4:00pm - 5:00pm
Anuj Srivastava (Florida State University)
Our previous work developed techniques for computing geodesics on
shape spaces of planar closed curves, first with and later without
restrictions to arc-length parameterizations. Using tangent
principal component analysis (TPCA), we have imposed probability
models on these spaces and have used them in Bayesian shape
estimation and classification of objects in images. Extending
these ideas to 3D problems, I will present a path-straightening
approach for computing geodesics between closed curves in R3. The
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