425 search results - page 4 / 85 » A Semi-Supervised Gaussian Mixture Model for Image Segmentat... |
ICIP
2001
IEEE
14 years 8 months ago
2001
IEEE
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
ICIP
2004
IEEE
14 years 8 months ago
2004
IEEE
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
ICIP
2003
IEEE
14 years 8 months ago
2003
IEEE
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
MICCAI
2008
Springer
14 years 7 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
ACCV
2009
Springer
14 years 1 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...