147 search results - page 27 / 30 » Markov random field models for hair and face segmentation |
ICIP
1999
IEEE
15 years 1 months ago
1999
IEEE
Segmentation of motion in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. To date, a wea...
TMM
2002
14 years 9 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
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TCSV
2008
14 years 9 months ago
2008
Wedding is one of the most important ceremonies in our lives. It symbolizes the birth and creation of a new family. In this paper, we present a system for automatically segmenting ...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been don...