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» Robust Model Based Motion Segmentation
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Publication
200views
12 years 8 months ago
Tracking Endocardial Motion via Multiple Model Filtering of Distribution Cut
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. As such, accurate characterization of dynamic behavior of the left ventricle (LV) is esse...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Isl...
ICPR
2006
IEEE
14 years 11 months ago
Effective and Generic Structure from Motion using Angular Error
Generic camera modeling using raxels and associated methods was recently introduced in Computer Vision. The main advantage is the applicability for any camera model, which contras...
Maxime Lhuillier
ICPR
2006
IEEE
14 years 3 months ago
A Statistical Assembled Model for Segmentation of Entire 3D Vasculature
We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically defor...
Judy Jun Feng, Horace Ho-Shing Ip
MICCAI
2002
Springer
14 years 10 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
ICRA
2006
IEEE
180views Robotics» more  ICRA 2006»
14 years 3 months ago
Development of Wearable Sensor Combinations for Human Lower Extremity Motion Analysis
– A wearable sensory system for human lower extremity motion analysis is proposed, and an intelligent computation method for this sensory system is presented. The standard method...
Tao Liu, Yoshio Inoue, Kyoko Shibata, Haruhiko Mor...