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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....
ICCV
1999
IEEE
14 years 22 days ago
3D Pose Tracking with Linear Depth and Brightness Constraints
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
BMVC
2010
13 years 6 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
HPDC
1996
IEEE
14 years 18 days ago
Legion - A View from 50, 000 Feet
' The coming of giga-bit networks makes possible the realization ofa single nationwide virtual computer comprised of a variety of geographically distributed highpe6ormance mac...
Andrew S. Grimshaw, William A. Wulf
ICIP
2005
IEEE
14 years 2 months ago
A tensor-like representation for averaging, filtering and interpolation of 3-D object orientation data
Averaging, filtering and interpolation of 3-D object orientation data is important in both computer vision and computer graphics, for instance to smooth estimates of object orien...
Anders Brun, Carl-Fredrik Westin, Steven Haker, Ha...