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PAMI
2010
207views more  PAMI 2010»
13 years 4 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
CVPR
2009
IEEE
15 years 4 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
CVPR
2007
IEEE
14 years 4 months ago
Optimized Color Sampling for Robust Matting
Image matting is the problem of determining for each pixel in an image whether it is foreground, background, or the mixing parameter, ”alpha”, for those pixels that are a mixt...
Jue Wang, Michael F. Cohen
ACCV
2006
Springer
14 years 3 months ago
Smooth Foreground-Background Segmentation for Video Processing
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
Konrad Schindler, Hanzi Wang