scholarly journals Scalable and Robust Shepherding via Deformable Shapes

2010 ◽  
pp. 218-229 ◽  
Author(s):  
Joseph F. Harrison ◽  
Christopher Vo ◽  
Jyh-Ming Lien
Keyword(s):  
Deformable Shapes

scholarly journals Determining the similarity of deformable shapes

1998 ◽  
Vol 38 (15-16) ◽  
pp. 2365-2385 ◽  
Author(s):  
Ronen Basri ◽  
Luiz Costa ◽  
Davi Geiger ◽  
David Jacobs
Keyword(s):  
Deformable Shapes

scholarly journals A Correspondence-Less Approach to Matching of Deformable Shapes

2012 ◽  
pp. 592-603 ◽  
Author(s):  
Jonathan Pokrass ◽  
Alexander M. Bronstein ◽  
Michael M. Bronstein
Keyword(s):  
Deformable Shapes

Hyperquadrics: Smoothly deformable shapes with convex polyhedral bounds

1988 ◽  
Vol 44 (2) ◽  
pp. 191-210 ◽  
Author(s):  
Andrew J. Hanson
Keyword(s):  
Convex Polyhedral ◽  
Deformable Shapes

scholarly journals Intrinsic shape context descriptors for deformable shapes

2012 ◽  
Author(s):  
I. Kokkinos ◽  
M. M. Bronstein ◽  
R. Litman ◽  
A. M. Bronstein
Keyword(s):  
Shape Context ◽  
Deformable Shapes ◽  
Intrinsic Shape

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

2015 ◽  
Vol 34 (5) ◽  
pp. 13-23 ◽  
Author(s):  
D. Boscaini ◽  
J. Masci ◽  
S. Melzi ◽  
M. M. Bronstein ◽  
U. Castellani ◽  
...  
Keyword(s):  
Convolutional Networks ◽  
Deformable Shapes

scholarly journals Robust Region Detection via Consensus Segmentation of Deformable Shapes

2014 ◽  
Vol 33 (5) ◽  
pp. 97-106 ◽  
Author(s):  
E. Rodolà ◽  
S. Rota Bulò ◽  
D. Cremers
Keyword(s):  
Region Detection ◽  
Deformable Shapes

Manifolds, Active Models, and Deformable Templates

2006 ◽  
Author(s):  
Ulf Grenander ◽  
Michael I. Miller
Keyword(s):  
Image Analysis ◽  
Random Fields ◽  
Transport Theory ◽  
Structural Models ◽  
Gaussian Random Fields ◽  
Deformable Templates ◽  
Infinite Products ◽  
Matrix Groups ◽  
The Matrix ◽  
Deformable Shapes

To study shape we introduce manifolds and submanifolds examined in the continuum as the generators. Transformations are constructed which are built from the matrix groups and infinite products. This gives rise to many of the widely used structural models in image analysis often termed active models, essentially the deformable templates. These deformations are studied as both diffeomorphisms as well as immersions. A calculus is introduced based on transport theory for activating these deformable shapes by taking variations with respect to the matrix groups parameterizing them. Segmentation based on activating these manifolds is examined based on Gaussian random fields and variations with respect to the parameterizations.

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