310 search results - page 39 / 62 » Discrete Mixture Models for Unsupervised Image Segmentation |
ICPR
2008
IEEE
14 years 3 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...
IJCV
2008
13 years 9 months ago
2008
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
IGARSS
2009
13 years 6 months ago
2009
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...
CVRMED
1997
Springer
14 years 1 months ago
1997
Springer
E cient and powerful topologically adaptable deformable surfaces can be created by embedding and de ning discrete deformable surface models in terms of an A ne Cell Decomposition (...