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» Shape Transformation Using Variational Implicit Functions
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COMPGEOM
2011
ACM
12 years 11 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
CVPR
2010
IEEE
13 years 10 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
AMC
2007
93views more  AMC 2007»
13 years 7 months ago
Radar network scanning coordination based on ensemble transform Kalman filtering variance optimization
In this work the variance of the error of analyzed wind fields obtained from an ensemble Kalman filter is used as a criterion with which to optimize radar network scanning strat...
Luther White, Alan Shapiro
ECCV
2004
Springer
14 years 9 months ago
Region-Based Segmentation on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance
Abstract. We consider the problem of estimating the shape and radiance of a scene from a calibrated set of images under the assumption that the scene is Lambertian and its radiance...
Hailin Jin, Anthony J. Yezzi, Stefano Soatto
BMCBI
2010
138views more  BMCBI 2010»
13 years 7 months ago
A database and API for variation, dense genotyping and resequencing data
Background: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale rese...
Daniel Rios, William M. McLaren, Yuan Chen, Ewan B...