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» Isomap and Nonparametric Models of Image Deformation
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WACV
2005
IEEE
13 years 10 months ago
Isomap and Nonparametric Models of Image Deformation
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...
Richard Souvenir, Robert Pless
MICCAI
2003
Springer
14 years 5 months ago
Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable M
Abstract. Knowledge of brain aneurysm dimensions is essential in minimally invasive surgical interventions using Guglielmi Detachable Coils. These parameters are obtained in clinic...
Monica Hernandez, Alejandro F. Frangi, Guillermo S...
CVIU
2006
166views more  CVIU 2006»
13 years 4 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
CVPR
2012
IEEE
11 years 7 months ago
From Pictorial Structures to deformable structures
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
Silvia Zuffi, Oren Freifeld, Michael J. Black
ICIAP
1997
ACM
13 years 9 months ago
Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements
A two-step parameter-free approach for non-rigid medical image registration is presented. Displacements of boundary structures are computed in the rst step and then incorporated a...
Wladimir Peckar, Christoph Schnörr, Karl Rohr...