310 search results - page 19 / 62 » Discrete Mixture Models for Unsupervised Image Segmentation |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
The video segmentation problem can be regarded as a problem of detecting the fundamental video units (shots). Due to different ways of linking two consecutive shots this task turn...
MICCAI
2000
Springer
13 years 11 months ago
2000
Springer
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
CAIP
2007
Springer
14 years 1 months ago
2007
Springer
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...