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ECCV
2008
Springer
14 years 10 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICIP
2009
IEEE
14 years 9 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
CVPR
1999
IEEE
14 years 10 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer
ICCV
1998
IEEE
14 years 10 months ago
Ego-Motion and Omnidirectional Cameras
Recent research in image sensors has produced cameras with very large fields of view. A n area of computer vision research which will benefit from this technology is the computati...
Joshua Gluckman, Shree K. Nayar
MICRO
2008
IEEE
159views Hardware» more  MICRO 2008»
14 years 2 months ago
Copy or Discard execution model for speculative parallelization on multicores
The advent of multicores presents a promising opportunity for speeding up sequential programs via profile-based speculative parallelization of these programs. In this paper we pr...
Chen Tian, Min Feng, Vijay Nagarajan, Rajiv Gupta