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» Modeling non-gaussian noise for robust image analysis
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SSIAI
2000
IEEE
14 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ICPR
2006
IEEE
14 years 10 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...
ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ICIAR
2009
Springer
14 years 3 months ago
Structured Light Stereoscopic Imaging with Dynamic Pseudo-random Patterns
Abstract. Structured light stereoscopic imaging offers an efficient and affordable solution to 3D modeling of objects. The majority of structured light patterns that have been prop...
Pierre Payeur, Danick Desjardins
CVPR
2007
IEEE
14 years 10 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios