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» Dense Range Image Smoothing Using Adaptive Regularization
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CVPR
2011
IEEE
14 years 4 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
ICPR
2008
IEEE
15 years 3 months ago
Non-rigid image registration based on the globally optimized correspondences
In this paper, we propose a new approach to the non-rigid image registration. This problem can be easily attacked if we can find regularly distributed correspondence points over ...
Hyung il Koo, Jung Gap Kuk, Nam Ik Cho
EUROCAST
2003
Springer
135views Hardware» more  EUROCAST 2003»
15 years 2 months ago
White Matter Mapping in DT-MRI Using Geometric Flows
Abstract. We present a 3D geometric flow designed to evolve in Diffusion Tensor Magnetic Resonance Images(DT-MRI) along fiber tracts by measuring the diffusive similarity betwe...
Lisa Jonasson, Patric Hagmann, Xavier Bresson, Ret...
CVPR
2008
IEEE
15 years 11 months ago
Adaptive parametrization of multivariate B-splines for image registration
We present an adaptive parametrization scheme for dynamic mesh refinement in the application of parametric image registration. The scheme is based on a refinement measure ensuring...
Michael Sass Hansen, Rasmus Larsen, Ben Glocker, N...
SCALESPACE
2005
Springer
15 years 2 months ago
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
Variational methods are very popular for optic flow computation: They yield dense flow fields and perform well if they are adapted such that they respect discontinuities in the ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...