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» Iterative MAP and ML Estimations for Image Segmentation
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ICIP
2009
IEEE
13 years 5 months ago
Dense disparity map representations for stereo image coding
Research in stereo image coding has focused on the disparity estimation/compensation process to exploit the cross-view redundancies. Most of the reported methods use a classical b...
Mounir Kaaniche, Wided Miled, Béatrice Pesq...
ICIP
2002
IEEE
14 years 9 months ago
Joint space-time image sequence segmentation based on volume competition and level sets
In this paper, we address the issue of joint space-time segmentation of image sequences. Typical approaches to such segmentation consider two image frames at a time, and perform t...
Mirko Ristivojevic, Janusz Konrad
DAGM
2009
Springer
14 years 2 months ago
Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera
We describe a technique for estimating human pose from an image sequence captured by a time-of-flight camera. The pose estimation is derived from a simple model of the human body ...
Martin Haker, Martin Böhme, Thomas Martinetz,...
ICCV
2007
IEEE
13 years 11 months ago
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
Image smoothing, segmentation and registration are three key processing steps in many computer vision applications. In this paper, we present a novel framework for achieving all t...
Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri
CVPR
2006
IEEE
14 years 10 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán