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CVPR
1998
IEEE
16 years 8 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
ECCV
2008
Springer
16 years 8 months ago
Efficient Camera Smoothing in Sequential Structure-from-Motion Using Approximate Cross-Validation
Abstract. In the sequential approach to three-dimensional reconstruction, adding prior knowledge about camera pose improves reconstruction accuracy. We add a smoothing penalty on t...
Michela Farenzena, Adrien Bartoli, Youcef Mezouar
ICIP
2005
IEEE
16 years 8 months ago
Approximate separable 3D anisotropic Gauss filter
Anisotropic Gaussian filters are useful for adaptive smoothing and feature extraction. In our application, micro - tomographic images of fibers were smoothed by anisotropic Gaussi...
Oliver Wirjadi, Thomas M. Breuel
174
Voted
ICPR
2008
IEEE
16 years 7 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
ICAPR
2009
Springer
16 years 24 days ago
Hierarchical Local Maps for Robust Approximate Nearest Neighbor Computation
In this paper, we propose a novel method for fast nearest neighbors retrieval in non-Euclidean and non-metric spaces. We organize the data into a hierarchical fashion that preserv...
Pratyush Bhatt, Anoop M. Namboodiri