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» Motion estimation from compressed linear measurements
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TSP
2010
13 years 1 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani
SCALESPACE
2009
Springer
14 years 1 months ago
A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation
Abstract. The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of t...
Alessandro Becciu, Hans C. van Assen, Luc Florack,...
NIPS
1996
13 years 8 months ago
Reconstructing Stimulus Velocity from Neuronal Responses in Area MT
We employed a white-noise velocity signal to study the dynamics of the response of single neurons in the cortical area MT to visual motion. Responses were quantified using reverse...
Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon
CVPR
1997
IEEE
13 years 11 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
ICCV
2001
IEEE
14 years 8 months ago
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
Tom Drummond, Roberto Cipolla