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TIP
1998
162views more  TIP 1998»
13 years 10 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
VLSID
2007
IEEE
120views VLSI» more  VLSID 2007»
14 years 11 months ago
Statistical Leakage and Timing Optimization for Submicron Process Variation
Leakage power is becoming a dominant contributor to the total power consumption and dual-Vth assignment is an efficient technique to decrease leakage power, for which effective de...
Yuanlin Lu, Vishwani D. Agrawal
EUROGRAPHICS
2010
Eurographics
14 years 8 months ago
Improved Variational Guiding of Smoke Animations
Smoke animations are hard to art-direct because simple changes in parameters such as simulation resolution often lead to unpredictable changes in the final result. Previous work ...
Michael B. Nielsen and Brian B. Christensen
DAGM
2005
Springer
14 years 4 months ago
Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps
We present a novel variational method for estimating dense disparity maps from stereo images. It integrates the epipolar constraint into the currently most accurate optic flow met...
Natalia Slesareva, Andrés Bruhn, Joachim We...
ICCAD
2007
IEEE
124views Hardware» more  ICCAD 2007»
14 years 7 months ago
Timing budgeting under arbitrary process variations
Timing budgeting under process variations is an important step in a statistical optimization flow. We propose a novel formulation of the problem where budgets are statistical ins...
Ruiming Chen, Hai Zhou