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» Level Set Based Shape Prior Segmentation
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TMI
2002
155views more  TMI 2002»
13 years 8 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
ECCV
2004
Springer
14 years 2 months ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
CVPR
2005
IEEE
14 years 2 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
TOG
2008
149views more  TOG 2008»
13 years 8 months ago
Randomized cuts for 3D mesh analysis
The goal of this paper is to investigate a new shape analysis method based on randomized cuts of 3D surface meshes. The general strategy is to generate a random set of mesh segmen...
Aleksey Golovinskiy, Thomas A. Funkhouser