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PAMI
2011
13 years 5 months ago
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
CVPR
2011
IEEE
13 years 5 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
SIBGRAPI
2003
IEEE
14 years 3 months ago
A Hole-Filling Strategy for Reconstruction of Smooth Surfaces in Range Images
Creating models of real scenes is a complex task for which the use of traditional modelling techniques is inappropriate. For this task, laser rangefinders are frequently used to s...
Jianning Wang, Manuel M. Oliveira
ICIP
2009
IEEE
13 years 7 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
ACCV
2010
Springer
13 years 5 months ago
Temporal Super Resolution from a Single Quasi-periodic Image Sequence Based on Phase Registration
This paper describes a method for temporal super resolution from a single quasi-periodic image sequence. A so-called reconstructionbased method is applied to construct a one period...
Yasushi Makihara, Atsushi Mori, Yasushi Yagi