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» Modelling perception using image processing algorithms
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CVPR
2001
IEEE
16 years 6 months ago
A Bayesian Approach to Digital Matting
This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel ...
Yung-Yu Chuang, Brian Curless, David Salesin, Rich...
155
Voted
SCALESPACE
2009
Springer
15 years 10 months ago
Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths
The proposed method is related to parametric and geodesic active contours as well as minimal paths, in the context of image segmentation 1 . Our geodesically linked active contour ...
Julien Mille, Laurent D. Cohen
IBPRIA
2005
Springer
15 years 9 months ago
Extended Bi-gram Features in Text Categorization
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Xian Zhang, Xiaoyan Zhu
ICPR
2000
IEEE
15 years 8 months ago
Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
Qing Wang, Rongchun Zhao, Zheru Chi, David Dagan F...
133
Voted
VISUALIZATION
1998
IEEE
15 years 8 months ago
Comparing LIC and spot noise
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field visualization. In this paper the two techniques are compared. Continuous direc...
Wim C. de Leeuw, Robert van Liere
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