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ECCV
2008
Springer
15 years 11 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
15 years 2 months 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
14 years 7 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
15 years 1 months 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
15 years 3 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...