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» Layered Object Models for Image Segmentation
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ICPR
2008
IEEE
14 years 2 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
GI
2009
Springer
13 years 6 months ago
An Evolutionary Strategy for Model-based Segmentation of Medical Data
: Medical image segmentation often involves variants of deformable models to account for both the variability of object shapes and variation in image quality. Segmentation quality,...
Karin Engel, Klaus D. Toennies
SSIAI
2002
IEEE
14 years 1 months ago
Volumetric Segmentation via 3D Active Shape Models
A volumetric image segmentation algorithm has been developed and implemented by extending a 2D algorithm based on Active Shape Models. The new technique allows segmentation of 3D ...
Molly M. Dickens, Shaun S. Gleason, Hamed Sari-Sar...
ECCV
2004
Springer
14 years 10 months ago
Model Selection for Range Segmentation of Curved Objects
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
Alireza Bab-Hadiashar, Niloofar Gheissari
CVPR
2008
IEEE
14 years 10 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...