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» Interpolation by geometric algorithm
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129
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SCVMA
2004
Springer
15 years 9 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
BILDMED
2006
15 years 5 months ago
Piecewise Rigid Multimodal Spine Registration
In this paper we present an efficient and robust vertebra segmentation algorithm for CT data. It proved reliable even for cases with damaged vertebrae or missing intervertebral dis...
Peter Cech, Adrian Andronache, Liping Wang, G&aacu...
125
Voted
CGF
2007
145views more  CGF 2007»
15 years 3 months ago
Data-driven Tetrahedral Mesh Subdivision
Given a tetrahedral mesh immersed in a voxel model, we present a method to refine the mesh to reduce the discrepancy between interpolated values based on either scheme at arbitra...
L. Rodriguez, Isabel Navazo, Alvar Vinacua
166
Voted
TIP
2008
213views more  TIP 2008»
15 years 2 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
102
Voted
ICIP
2009
IEEE
15 years 1 months ago
Joint deconvolution and demosaicing
We present a new method to jointly perform deblurring and colordemosaicing of RGB images. Our method is derived following an inverse problem approach in a MAP framework. To avoid ...
Ferréol Soulez, Eric Thiébaut