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» Image Segmentation by Data-Driven Markov Chain Monte Carlo
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CVIU
2007
154views more  CVIU 2007»
14 years 9 months ago
Bayesian stereo matching
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
Li Cheng, Terry Caelli
CVPR
2007
IEEE
15 years 11 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
ICPR
2008
IEEE
15 years 4 months ago
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lan...
ICCV
1999
IEEE
15 years 1 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
81
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ICCV
2007
IEEE
15 years 11 months ago
Contour Grouping Based on Local Symmetry
The paper deals with grouping of edges to contours of shapes using only local symmetry and continuity. Shape skeletons are used to generate the search space for a version of the M...
Nagesh Adluru, Longin Jan Latecki, Rolf Lakäm...