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» Denoising image sequences does not require motion estimation
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ICRA
2009
IEEE
157views Robotics» more  ICRA 2009»
15 years 6 months ago
Modeling and 3D local estimation for in-plane and out-of-plane motion guidance by 2D ultrasound-based visual servoing
Abstract— This paper presents a new model-free visual servoing that is able to servo a robotized 2D ultrasound probe that interacts with a soft tissue object. It makes direct use...
Rafik Mebarki, Alexandre Krupa, François Ch...
ICCV
1999
IEEE
15 years 4 months ago
Multi-Frame Optical Flow Estimation using Subspace Constraints
We show that the set of all ow- elds in a sequence of frames imaging a rigid scene resides in a lowdimensional linear subspace. Based on this observation, we develop a method for ...
Michal Irani
IJCV
2006
110views more  IJCV 2006»
14 years 11 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
102
Voted
ICIP
2006
IEEE
16 years 1 months ago
Outlier Robust and Edge-Preserving Simultaneous Super-Resolution
In this work, we propose a new robust and edge-preserving superresolution algorithm to simultaneously estimate all frames of a sequence. The new algorithm is based on the regulari...
Joceli Mayer, Marcelo Victor Wüst Zibetti
102
Voted
CVPR
1997
IEEE
15 years 3 months ago
Motion estimation using ordinal measures
Wepresent a methodfor motion estimation using ordinal measures. Ordinal measures are based on relative ordering of intensity values in a image regioncalled rankpermutation. While ...
Dinkar N. Bhat, Shree K. Nayar, Alok Gupta