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Random Profiles of Laser Marks

Abstract: In this paper, we propose a secure anti-counterfeiting solution based on the ex- traction of a unique identifier out of the random profile of laser marks that are engraved on the surface or in the bulk of physical objects.
2010 PROCEEDINGS OF THE SYMPOSIUM ON INFORMATION THEORY IN THE BENELUX
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Randomly Driven Fuzzy Key Extraction of Unclonable Images

Abstract: In this paper, we develop an adjustable Fuzzy Extractor using the Physical Unclonable Functions (PUF) obtained by a common laser engraving method to sign physical objects. In particular, a string (or helper data) is generated by XORing a binary reduction of the PUF observation with the encoding of a randomly generated key, or identifier.
2010 Image Processing (ICIP), 2010 17th IEEE International Conference on
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A Sparsity Constrained Inverse Problem to Locate People in a Network of Cameras

2009 Digital Signal Processing, 2009 16th International Conference on
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CMOS Compressed Imaging by Random Convolution

2009 Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
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Compressed sensing for radio interferometry : prior-enhanced Basis Pursuit imaging techniques

2009 Proc. Spars'09, St Malo, France.
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Compressive Sampling of Pulse Trains : Spread the Spectrum!

2009 Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
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Dequantizing Compressed Sensing with Non-Gaussian Constraints

2009 Image Processing (ICIP), 2009 16th IEEE International Conference on
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Sparsity-driven people localization algorithm: evaluation in crowded scenes environments

Abstract: We propose to evaluate our sparsity driven people localization framework on crowded complex scenes. The problem is recast as a linear inverse problem. It relies on deducing an occupancy vector, i.
2009 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter 2009)
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Sport players detection and tracking with a mixed network of planar and omnidirectional cameras

Abstract: A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem.
2009 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)
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TV-Regularized Generation of Planar Images from Omnicams

2009 Image Processing (ICIP), 2009 16th IEEE International Conference on
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