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» Robust Adjusted Likelihood Function for Image Analysis
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CVPR
2006
IEEE
14 years 9 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
ICCV
2007
IEEE
14 years 9 months ago
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. ...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
ICCV
2001
IEEE
14 years 9 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick
PR
2007
108views more  PR 2007»
13 years 6 months ago
Local anisotropy analysis for non-smooth images
Identification of local anisotropy and determination of principal axes is addressed through different methods that are designed to be tolerant to the non-smooth character of ima...
Sandra Bergonnier, François Hild, Sté...
MICCAI
1999
Springer
13 years 11 months ago
Analysis of Functional MRI Data Using Mutual Information
Abstract. A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutualinforma...
Andy Tsai, John W. Fisher III, Cindy Wible, Willia...