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» Discrete optimization in computer vision
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GRAPHICSINTERFACE
2000
15 years 5 months ago
Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
SIAMIS
2008
124views more  SIAMIS 2008»
15 years 4 months ago
Area Distances of Convex Plane Curves and Improper Affine Spheres
The area distance to a convex plane curve is an important concept in computer vision. In this paper we describe a strong link between area distances and improper affine spheres. Th...
Marcos Craizer, Moacyr Alvim, Ralph Teixeira
CVPR
2004
IEEE
16 years 6 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...
ICA3PP
2010
Springer
15 years 8 months ago
InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services
Abstract. Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers aroun...
Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros
ICCV
2009
IEEE
16 years 9 months ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir