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WSCG
2004
133views more  WSCG 2004»
13 years 11 months ago
Diffusion and Multiple Anisotropic Scattering for Global Illumination in Clouds
The diffusion method is a good approximation inside the dense core of a cloud, but not at the more tenuous boundary regions. Also, it breaks down in regions where the density of s...
Nelson Max, Greg Schussman, Ryo Miyazaki, Kei Iwas...
MICCAI
2009
Springer
14 years 11 months ago
Diffusion Tensor Field Registration in the Presence of Uncertainty
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
M. Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajev...
CVPR
2010
IEEE
14 years 6 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
ICCV
2011
IEEE
12 years 10 months ago
Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion
The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions...
Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade
VISUALIZATION
2000
IEEE
14 years 2 months ago
Anisotropic geometric diffusion in surface processing
A new multiscale method in surface processing is presented here which combines the image processing methodology based on nonlinear diffusion equations and the theory of geometric ...
Ulrich Clarenz, Udo Diewald, Martin Rumpf