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» Image Segmentation Using Local Variation
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ECCV
2006
Springer
14 years 1 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
TMI
2010
165views more  TMI 2010»
13 years 8 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
ICVGIP
2008
13 years 11 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
JMM2
2006
151views more  JMM2 2006»
13 years 10 months ago
On the Use of External Face Features for Identity Verification
Abstract-- In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial im...
Àgata Lapedriza, David Masip, Jordi Vitri&a...
CVPR
2008
IEEE
15 years 3 days ago
A region based stereo matching algorithm using cooperative optimization
This paper presents a new stereo matching algorithm based on inter-regional cooperative optimization. The proposed algorithm uses regions as matching primitives and defines the co...
Zeng-Fu Wang, Zhi-Gang Zheng