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TIP
2010
87views more  TIP 2010»
13 years 3 months ago
A Nonconservative Flow Field for Robust Variational Image Segmentation
—We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a fe...
Pratim Ghosh, Luca Bertelli, Baris Sumengen, B. S....
ICCV
2009
IEEE
13 years 2 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
TIP
2010
165views more  TIP 2010»
12 years 11 months ago
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates
Imaging plays an important role in experimental fluid dynamics. It is equally important both for scientific research and a range of industrial applications. It is known, however, t...
Andrey Vlasenko, Christoph Schnörr
IPMI
2001
Springer
14 years 5 months ago
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
ICCV
2003
IEEE
14 years 6 months ago
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...