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CVPR
2007
IEEE
14 years 7 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
PR
2008
97views more  PR 2008»
13 years 5 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
IJCV
2006
236views more  IJCV 2006»
13 years 5 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
EUROGRAPHICS
2010
Eurographics
14 years 2 months ago
Adding Depth to Cartoons Using Sparse Depth (In)equalities
This paper presents a novel interactive approach for adding depth information into hand-drawn cartoon images and animations. In comparison to previous depth assignment techniques ...
Daniel Sýkora, David Sedlacek, Sun Jinchao, John ...
VMV
2008
307views Visualization» more  VMV 2008»
13 years 6 months ago
2D Video Editing for 3D Effects
We present a semi-interactive system for advanced video processing and editing. The basic idea is to partially recover planar regions in object space and to exploit this minimal p...
Darko Pavic, Volker Schönefeld, Lars Krecklau...