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» Causal signal recovery from U-invariant samples
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ECCV
2008
Springer
14 years 7 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....
SIGPRO
2010
122views more  SIGPRO 2010»
13 years 3 months ago
Parameter estimation for exponential sums by approximate Prony method
The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...
Daniel Potts, Manfred Tasche
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
12 years 8 months ago
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
IVCNZ
1998
13 years 6 months ago
Duality Principles in Image Processing and Analysis
Duality is a well-established concept in quantum physics. It formalises the fact that what one observes is not nature in itself, but--in Heisenberg's words--"nature expo...
Luc Florack