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» Probability Models for High Dynamic Range Imaging
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VISSYM
2004
14 years 11 months ago
Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
John Plate, Anselm Grundhöfer, Benjamin Schmi...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
14 years 4 months ago
Concentration of measure inequalities for compressive Toeplitz matrices with applications to detection and system identification
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
Borhan Molazem Sanandaji, Tyrone L. Vincent, Micha...
IROS
2009
IEEE
190views Robotics» more  IROS 2009»
15 years 4 months ago
3D pose and velocity visual tracking based on sequential region of interest acquisition
— This paper presents a high speed visual tracking method based on non simultaneous subimages acquisition. This method is formulated as a virtual visual servoing scheme. The sequ...
Redwan Dahmouche, Nicolas Andreff, Youcef Mezouar,...
AVSS
2006
IEEE
15 years 3 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are dif...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...