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ICCV
2007
IEEE
14 years 12 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake
PSIVT
2009
Springer
125views Multimedia» more  PSIVT 2009»
14 years 4 months ago
Implicit Surface Reconstruction with an Analogy of Polar Field Model
Implicit surface reconstruction has been a challenging work for decades. In this paper, motivated by the concept of classic physical polar field model and off-set points strategy...
Yuxu Lin, Chun Chen, Mingli Song, Jiajun Bu, Ziche...
TE
2010
102views more  TE 2010»
13 years 4 months ago
An Undergraduate Course and Laboratory in Digital Signal Processing With Field Programmable Gate Arrays
In this paper, an innovative educational approach to introducing undergraduates to both digital signal processing (DSP) and field programmable gate array (FPGA)-based design in a o...
Uwe Meyer-Bäse, G. Alonzo Vera, Anke Meyer-B&...
CVPR
2007
IEEE
14 years 12 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal
ICIP
2005
IEEE
14 years 11 months ago
Performance evaluation of parametric bias field correction
Magnetic Resonance (MR) images often exhibit grayscale nonuniformities, caused by radio frequency (RF) coil design or acquisition sequences. Many algorithms to remove these nonuni...
Vitali Zagorodnov, Mads Fogtmann Hansen