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» Array Processing Approach for Object Segmentation in Images
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ICIP
2008
IEEE
14 years 3 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
ECCV
2008
Springer
14 years 10 months ago
Shape Matching by Segmentation Averaging
We use segmentations to match images by shape. To address the unreliability of segmentations, we give a closed form approximation to an average over all segmentations. Our techniqu...
Hongzhi Wang, John Oliensis
BMCBI
2004
174views more  BMCBI 2004»
13 years 8 months ago
SeeGH - A software tool for visualization of whole genome array comparative genomic hybridization data
Background: Array comparative genomic hybridization (CGH) is a technique which detects copy number differences in DNA segments. Complete sequencing of the human genome and the dev...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Calu...
ECCV
2004
Springer
14 years 10 months ago
A Feature-Based Approach for Determining Dense Long Range Correspondences
Planar motion models can provide gross motion estimation and good segmentation for image pairs with large inter-frame disparity. However, as the disparity becomes larger, the resul...
Josh Wills, Serge Belongie
ICIP
2010
IEEE
13 years 6 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...