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» Modeling Multigrid Algorithms for Variational Imaging
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CVPR
2004
IEEE
16 years 1 months ago
Brightness Perception, Dynamic Range and Noise: A Unifying Model for Adaptive Image Sensors
Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the a...
Vladimir Brajovic
IJCV
2011
163views more  IJCV 2011»
14 years 3 months ago
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniï...
Simon Setzer
CVPR
2005
IEEE
16 years 1 months ago
Optimal Sub-Shape Models by Minimum Description Length
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
Georg Langs, Philipp Peloschek, Horst Bischof
BMEI
2008
IEEE
15 years 6 months ago
Adaptive Gene Expression Programming Algorithm Based on Cloud Model
Standard Gene Expression Programming(GEP) works with fixed rate of mutation and crossover, ignoring the variation of the individual fitness, hence it works in the local optimum st...
Yue Jiang, Chang-jie Tang, Haichun Zheng, Chuan Li...
ACCV
1998
Springer
15 years 3 months ago
Digital Geometric Methods in Image Analysis and Compression
One of the important problems related to image analysis and compression is finding repeated structure. Although the focus of this paper is developing digital geometric models and m...
Ari D. Gross, Longin Jan Latecki