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BMVC
2001
13 years 8 months ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
MVA
1990
140views Computer Vision» more  MVA 1990»
13 years 7 months ago
Recognition of Human Motion Based on Interpretation of 2D Pattern Deformation
This paper presents an approach to recognize human motion from singleviewed image sequencein order to realize a new man-computerinterface.Thehuman body is assumed to be linked mod...
Keiko Shiraishi, Mutsuhiro Terauchi, Kenji Onaga
IPMI
2007
Springer
14 years 6 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
MICCAI
1999
Springer
13 years 10 months ago
3D Image Matching Using a Finite Element Based Elastic Deformation Model
We present a new approach for the computation of the deformation field between three dimensional (3D) images. The deformation field minimizes the sum of the squared differences b...
Matthieu Ferrant, Simon K. Warfield, Charles R. G....
MICCAI
2003
Springer
14 years 6 months ago
Segmentation, Registration, and Deformation Analysis of 3D MR Images of Mice
We demonstrate our mouse MR image and shape analysis pipeline. The long term goal of our work is the description of structural shape variations in normal, genetically identical mic...
Ghassan Hamarneh, Josette Chen, Brian Neiman, Jeff...