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» Image Segmentation by Nested Cuts
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ECCV
2002
Springer
14 years 7 months ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih
EMMCVPR
2001
Springer
13 years 10 months ago
Grouping with Directed Relationships
Abstract. Grouping is a global partitioning process that integrates local cues distributed over the entire image. We identify four types of pairwise relationships, attraction and r...
Stella X. Yu, Jianbo Shi
CGF
2010
124views more  CGF 2010»
13 years 5 months ago
DTI in Context: Illustrating Brain Fiber Tracts In Situ
We present an interactive illustrative visualization method inspired by traditional pen-and-ink illustration styles. Specifically, we explore how to provide context around DTI fib...
Pjotr Svetachov, Maarten H. Everts, Tobias Isenber...
ECCV
2006
Springer
14 years 7 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
PAMI
2008
198views more  PAMI 2008»
13 years 5 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...