425 search results - page 18 / 85 » A Semi-Supervised Gaussian Mixture Model for Image Segmentat... |
133
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
170
Voted
TCSV
2011
14 years 10 months ago
2011
This paper proposes a background subtraction method for Bayer-pattern image sequences. The proposed method models the background in a Bayer-pattern domain using a mixture of Gauss...
138
Voted
ICIP
2000
IEEE
15 years 8 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
129
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...
117
Voted
ACCV
2007
Springer
15 years 10 months ago
2007
Springer
Inspired by the idea of multi-view, we proposed an image segmentation algorithm using co-EM strategy in this paper. Image data are modeled using Gaussian Mixture Model (GMM), and t...