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CVPR
2004
IEEE
15 years 11 months ago
A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues
In this paper we are interested in the joint reconstruction of geometry and photometry of scenes with multiple moving objects from a collection of motion-blurred images. We make s...
Paolo Favaro, Stefano Soatto
CVIU
2007
125views more  CVIU 2007»
14 years 9 months ago
Graph regularization for color image processing
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
Olivier Lezoray, Abderrahim Elmoataz, Sébas...
TNN
2010
182views Management» more  TNN 2010»
14 years 4 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
88
Voted
ICIP
2004
IEEE
15 years 11 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
CVPR
2012
IEEE
12 years 12 months ago
Dense Lagrangian motion estimation with occlusions
We couple occlusion modeling and multi-frame motion estimation to compute dense, temporally extended point trajectories in video with significant occlusions. Our approach combine...
Susanna Ricco, Carlo Tomasi