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CVPR
2004
IEEE
14 years 10 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
CVPR
2004
IEEE
14 years 10 months ago
Globally Optimal Segmentation of Interacting Surfaces with Geometric Constraints
Abstract-- Efficient detection of globally optimal surfaces representing object boundaries in volumetric datasets is important and remains challenging in many medical image analysi...
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
CVPR
2005
IEEE
14 years 10 months ago
Digital Tapestry
This paper addresses the novel problem of automatically synthesizing an output image from a large collection of different input images. The synthesized image, called a digital tap...
Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov,...
CVPR
2005
IEEE
14 years 10 months ago
Accurate Motion Layer Segmentation and Matting
Given a video sequence, obtaining accurate layer segmentation and alpha matting is very important for various applications. However, when a non-textured or smooth area is present ...
Jiangjian Xiao, Mubarak Shah
CVPR
2006
IEEE
14 years 10 months ago
Solving Markov Random Fields using Second Order Cone Programming Relaxations
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...