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» Application of Level Set Methods in Computer Vision
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APNOMS
2008
Springer
13 years 9 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
CVPR
2008
IEEE
14 years 9 months ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
ISVC
2007
Springer
14 years 1 months ago
Lip Contour Segmentation Using Kernel Methods and Level Sets
This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise l...
A. Khan, William J. Christmas, Josef Kittler
ECCV
2004
Springer
14 years 9 months ago
Weighted Minimal Hypersurfaces and Their Applications in Computer Vision
Abstract. Many interesting problems in computer vision can be formulated as a minimization problem for an energy functional. If this functional is given as an integral of a scalar-...
Bastian Goldlücke, Marcus A. Magnor
EUROCAST
2005
Springer
182views Hardware» more  EUROCAST 2005»
14 years 1 months ago
Computer Vision Application: Real Time Smart Traffic Light
Abstract. The design, development, construction and testing of an ArtificialVision controlled Traffic-Light prototype has been carried out to rule and regulate intersections. Metho...
Ángel Serrano, Cristina Conde, Licesio J. R...