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» Robust Estimation of Camera Motion Using Optical Flow Models
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ICIP
2001
IEEE
14 years 9 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
DAGM
2009
Springer
14 years 15 days ago
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...
Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Da...
ECCV
2004
Springer
14 years 9 months ago
A Feature-Based Approach for Determining Dense Long Range Correspondences
Planar motion models can provide gross motion estimation and good segmentation for image pairs with large inter-frame disparity. However, as the disparity becomes larger, the resul...
Josh Wills, Serge Belongie
JUCS
2007
104views more  JUCS 2007»
13 years 7 months ago
Real-time Architecture for Robust Motion Estimation under Varying Illumination Conditions
: Motion estimation from image sequences is a complex problem which requires high computing resources and is highly affected by changes in the illumination conditions in most of th...
Javier Díaz, Eduardo Ros, Rafael Rodr&iacut...
ICASSP
2011
IEEE
12 years 11 months ago
Joint disparity and optical flow by correspondence growing
The scene flow in binocular stereo setup is estimated using a seed growing algorithm. A pair of calibrated and synchronized cameras observe a scene and output a sequence of image...
Jan Cech, Radu Horaud