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143
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ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 9 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich
119
Voted
ECCV
2004
Springer
15 years 8 months ago
Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials
Abstract. A novel method is proposed for performing multi-label, semi-automated image segmentation. Given a small number of pixels with user-defined labels, one can analytically (...
Leo Grady, Gareth Funka-Lea
127
Voted
ICPR
2010
IEEE
15 years 4 months ago
Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response
Human-area segmentation is a major issue in video surveillance. Many existing methods estimate individual human areas from the foreground area obtained by background subtraction, ...
Hiroaki Ando, Hironobu Fujiyoshi
136
Voted
DICTA
2003
15 years 4 months ago
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation
The mean shift (MS) algorithm is sensitive to local peaks. In this paper, we show both empirically and analytically that when using sample data, the reconstructed PDF may have fals...
Hanzi Wang, David Suter
PAMI
2006
440views more  PAMI 2006»
15 years 2 months ago
Random Walks for Image Segmentation
Abstract-- A novel method is proposed for performing multilabel, interactive image segmentation. Given a small number of pixels with user-defined (or pre-defined) labels, one can a...
Leo Grady