Active appearance motion model segmentation

2002 ◽  
Author(s):  
M. Sonka ◽  
B.P.F. Lelieveldt ◽  
S.C. Mitchell ◽  
J.G. Bosch ◽  
R.J. Van der Geest ◽  
...  
Keyword(s):  
Motion Model ◽  
Model Segmentation ◽  
Active Appearance

Improving 3D active appearance model segmentation of the left ventricle with Jacobian tuning

2008 ◽  
Author(s):  
K .Y. E. Leung ◽  
M. van Stralen ◽  
M. M. Voormolen ◽  
N. de Jong ◽  
A. F. W. van der Steen ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Model Segmentation ◽  
Active Appearance

An Empirical Analysis of a Submarine Motion Model

1991 ◽  
Author(s):  
R. N. Forrest ◽  
J. N. Eagle
Keyword(s):  
Empirical Analysis ◽  
Motion Model

scholarly journals Direct 3D model extraction method for color volume images

2021 ◽  
Vol 29 ◽  
pp. 133-140
Author(s):  
Bin Liu ◽  
Shujun Liu ◽  
Guanning Shang ◽  
Yanjie Chen ◽  
Qifeng Wang ◽  
...  
Keyword(s):  
3D Model ◽  
Clinical Medicine ◽  
Three Dimensional ◽  
Laplacian Matrix ◽  
Segmentation Method ◽  
Human Organs ◽  
Model Segmentation ◽  
Treatment Objective ◽  
Organ Models ◽  
Different Parts

BACKGROUND: There is a great demand for the extraction of organ models from three-dimensional (3D) medical images in clinical medicine diagnosis and treatment. OBJECTIVE: We aimed to aid doctors in seeing the real shape of human organs more clearly and vividly. METHODS: The method uses the minimum eigenvectors of Laplacian matrix to automatically calculate a group of basic matting components that can properly define the volume image. These matting components can then be used to build foreground images with the help of a few user marks. RESULTS: We propose a direct 3D model segmentation method for volume images. This is a process of extracting foreground objects from volume images and estimating the opacity of the voxels covered by the objects. CONCLUSIONS: The results of segmentation experiments on different parts of human body prove the applicability of this method.

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