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» A Bayesian approach for image segmentation with shape priors
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ACCV
2006
Springer
14 years 2 months ago
Multiregion Level Set Tracking with Transformation Invariant Shape Priors
Tracking of regions and object boundaries in an image sequence is a well studied problem in image processing and computer vision. So far, numerous approaches tracking different fea...
Michael Fussenegger, Rachid Deriche, Axel Pinz
CVPR
2009
IEEE
15 years 3 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
CVPR
2008
IEEE
14 years 10 months ago
A statistical deformation prior for non-rigid image and shape registration
Non-rigid registration is central to many problems in computer vision and medical image analysis. We propose a registration algorithm which is regularized by prior knowledge in th...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
CVPR
2009
IEEE
14 years 3 months ago
Non-rigid 2D-3D pose estimation and 2D image segmentation
In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks which couple both pose est...
Romeil Sandhu, Samuel Dambreville, Anthony J. Yezz...
ECCV
2008
Springer
14 years 10 months ago
What Is a Good Image Segment? A Unified Approach to Segment Extraction
Abstract. There is a huge diversity of definitions of "visually meaningful" image segments, ranging from simple uniformly colored segments, textured segments, through sym...
Shai Bagon, Oren Boiman, Michal Irani