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» Light Field Analysis for Modeling Image Formation
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VISAPP
2007
15 years 27 days ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
143
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ICDAR
2009
IEEE
14 years 9 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...
CVPR
2010
IEEE
1814views Computer Vision» more  CVPR 2010»
15 years 9 months ago
Depth from Diffusion
An optical diffuser is an element that scatters light and is commonly used to soften or shape illumination. In this paper, we propose a novel depth estimation method that places a ...
Changyin Zhou, Oliver Cossairt, Shree Nayar
IJCV
2007
163views more  IJCV 2007»
14 years 11 months ago
Appearance Sampling of Real Objects for Variable Illumination
Abstract. The appearance of an object greatly changes under different lighting conditions. Even so, previous studies have demonstrated that the appearance of an object under varyin...
Imari Sato, Takahiro Okabe, Yoichi Sato
ICPR
2006
IEEE
16 years 25 days ago
Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis
In this paper, we address issues in segmentation of remotely sensed LIDAR (LIght Detection And Ranging) data. The LIDAR data, which were captured by airborne laser scanner, contai...
Hong Wei, Marc Bartels