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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
The ability to interactively and seamlessly roam in the scenario while watching a video through IP network is an exciting visual experience. In this work, we implemented a 3D TV s...
ECCV
2010
Springer
14 years 12 months ago
2010
Springer
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
AE
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
IWANN
1997
Springer
15 years 2 months ago
1997
Springer
A recognition model which defines a measure of shape similarity on the direct output of multiscale and multiorientation Gabor filters does not manifest qualitative aspects of huma...