Unified bayesian framework for shape registration

Details Unified bayesian framework for shape registration Unified bayesian framework for shape registration

2007-11-06

2007-11-06

Ahmed, Samir (Department: 2624)

Image analysis

Image transformation or preprocessing

Changing the image coordinates

C382S287000

Reexamination Certificate

active

10641608

ABSTRACT:
Systems and methods for shape registration are described. In one aspect, training shape vectors are generated from images in an image database. The training shape vectors identify landmark points associated with one or more object types. A distribution of shape in the training shape vectors is represented as a prior of tangent shape in tangent shape space. The prior of tangent shape is then incorporated into a unified Bayesian framework for shape registration.

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Cootes et al. (“Active Shape Models—Their Training and Application” Computer vision and Image Understanding, vol. 61 No. 1, January pp. 38-59, 1995).
Cootes, T.F.; Taylor, C.J.; Cooper, D.H.; and Graham, J.; “Active Shape Models-Their Training and Application”; Computer vision and Image Understanding; Jan. 1995; pp. 38-59; 61(1).
Cootes, T.F. and Taylor, C.J.; “Statistical Models of Appearance for medical image Analysis and Computer Vision” Proc. SPIE Medical Imaging, 2001, 14 pages.

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