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139
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ICIP
2004
IEEE
16 years 5 months ago
Distributed compression of the plenoptic function
In this paper, we consider the problem of distributed compression in camera sensor networks. Due to the spatial proximity of the different cameras, acquired images can be highly d...
Nicolas Gehrig, Pier Luigi Dragotti
138
Voted
ESA
2010
Springer
183views Algorithms» more  ESA 2010»
15 years 5 months ago
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data
As sensor networks increase in size and number, efficient techniques are required to process the very large data sets that they generate. Frequently, sensor networks monitor object...
Sorelle A. Friedler, David M. Mount
ICASSP
2010
IEEE
15 years 4 months ago
Motion estimation from compressed linear measurements
This paper presents a novel algorithm for computing the relative motion between images from compressed linear measurements. We propose a geometry based correlation model that desc...
Vijayaraghavan Thirumalai, Pascal Frossard
125
Voted
CORR
2008
Springer
178views Education» more  CORR 2008»
15 years 4 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
ADT
2005
15 years 3 months ago
High rate compression of CAD meshes based on subdivision inversion
In this paper we present a new framework, based on subdivision surface approximation, for efficient compression and coding of 3D models represented by polygonal meshes. Our algorit...
Guillaume Lavoué, Florent Dupont, Atilla Ba...