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» Application of Level Set Methods in Computer Vision
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ACCV
2009
Springer
14 years 2 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
RTS
2008
119views more  RTS 2008»
13 years 7 months ago
Symbolic quality control for multimedia applications
We present a fine grain quality control method for multimedia applications. The method takes as input an application software composed of actions. The execution times of actions a...
Jacques Combaz, Jean-Claude Fernandez, Joseph Sifa...
ICPR
2002
IEEE
14 years 8 months ago
Separating Color and Pattern Information for Color Texture Discrimination
The analysis of colored surface textures is a challenging research problem in computer vision. Current approaches to this task can be roughly divided into two categories: methods ...
Topi Mäenpää, Matti Pietikäine...
CVPR
1998
IEEE
14 years 9 months ago
Segmentation by Grouping Junctions
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
Hiroshi Ishikawa 0002, Davi Geiger
CVPR
2007
IEEE
14 years 9 months ago
Implicit Active Contours Driven by Local Binary Fitting Energy
In this paper, we propose a novel region-based active contour model for image segmentation with a variational level set formulation. By introducing a local binary fitting energy, ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...