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» Learning epipolar geometry from image sequences
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IPMI
2005
Springer
14 years 8 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
BIBE
2008
IEEE
121views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
Joining retinal vessel segments
—A new method is introduced for joining vessel segments together to form a vessel graph. Using a reference image set from the Sunderland Eye Infirmary, we analysed the retinal b...
Bashir Al-Diri, Andrew Hunter, David Steel, Maged ...
ECCV
2006
Springer
13 years 11 months ago
Articulated-Body Tracking Through Anisotropic Edge Detection
This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on both an explicit parameterization of the extremal contours...
David Knossow, Joost van de Weijer, Radu Horaud, R...
MVA
2002
116views Computer Vision» more  MVA 2002»
13 years 7 months ago
Nonlinear Refinement of Camera Parameters Using an Endoscopic Surgery Robot
We present an approach for nonlinear optimization of the parameters of an endoscopic camera mounted on a surgery robot. The goal is to generate a depth map for each image in order...
Jochen Schmidt, Florian Vogt, Heinrich Niemann
CCGRID
2007
IEEE
13 years 11 months ago
A Computer-Aided Diagnostic System using a Global Data Grid Repository for the Evaluation of Ultrasound Carotid Images
A computer-aided diagnostic (CAD) method of calculating lumen and wall thickness of carotid vessels is presented. The CAD is able to measure the geometry of the lumen and plaque s...
Marco Antonio Gutierrez, Silvia Helena Gelas Lage,...