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Št. zadetkov: 6
Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP
Chetan Arora , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;computer vision
We propose a new algorithm called Generic Cuts for computing optimal solutions to 2 label MRF-MAP problems with higher order clique potentials satisfying submodularity. The algorithm runs in time O(2kn3) in the worst case (k is clique order and n is the number of pixels). A special gadget is introdu ...
Leto: 2012 Vir: videolectures.net
Diverse M-Best Solutions in Markov Random Fields
Dhruv Batra , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;machine learning;markov processes;computer vision
Much effort has been directed at algorithms for obtaining the highest probability (MAP) configuration in probabilistic (random field) models. In many situations, one could benefit from additional high probability solutions. Current methods for computing the M most probable configurations produce sol ...
Leto: 2012 Vir: videolectures.net
Good Regions to Deblur
Zhe Hu , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;computer vision;computational photography
The goal of single image deblurring is to recover both a latent clear image and an underlying blur kernel from one input blurred image. Recent works focus on exploiting natural image priors or additional image observations for deblurring, but pay less attention to the influence of image structures o ...
Leto: 2012 Vir: videolectures.net
Patch Complexity, Finite Pixel Correlations and Optimal Denoising
Anat Levin , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;computer vision;color, texture, illumination & reflectance
Image restoration tasks are ill-posed problems, typically solved with priors. Since the optimal prior is the exact unknown density of natural images, actual priors are only approximate and typically restricted to small patches. This raises several questions: How much may we hope to improve current r ...
Leto: 2012 Vir: videolectures.net
Filter-based Mean-Field Inference for Random Fields with Higher Order Terms and Product Label-Spaces
Vibhav Vineet , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;computer vision
Recently, a number of cross bilateral filtering methods have been proposed for solving multi-label problems in computer vision, such as stereo, optical flow and object class segmentation that show an order of magnitude improvement in speed over previous methods. These methods have achieved good resu ...
Leto: 2012 Vir: videolectures.net
Continuous Markov Random Fields for Robust Stereo Estimation
Koichiro Yamaguchi , Ramin Zabih , Laurent Itti
Video in druga učna gradiva
Oznake: computer science;computer vision;machine learning;markov processes
In this paper we present a novel slanted-plane model which reasons jointly about occlusion boundaries as well as depth. We formulate the problem as one of inference in a hybrid MRF composed of both continuous (i.e., slanted 3D planes) and discrete (i.e., occlusion boundaries) random variables. This ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 6
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