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Shape Estimation and Object Classification in Images Using Geometric Priors

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2 Author(s)
Joshi, S.H. ; Dept. of Electr. & Comput. Eng., Univ. of Florida State, Tallahassee, FL ; Srivastava, A.

We propose a method for modeling and incorporating prior shape information for Bayesian shape estimation from images. In this approach, shapes are treated as elements of an infinite-dimensional, non-linear, quotient space. Prior probability models on shape classes are defined and computed intrinsically on the tangent bundle of this shape space. MAP shape estimation is posed as a problem of gradient-based energy minimization where this energy has contributions from the image data and the prior model.

Published in:

Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on

Date of Conference:

Oct. 29 2006-Nov. 1 2006