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» Shape Estimation in Natural Illumination
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PR
2007
143views more  PR 2007»
13 years 7 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
JMIV
2010
98views more  JMIV 2010»
13 years 6 months ago
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Shape estimation and object reconstruction are common problems in image analysis. Mathematically, viewing objects in the image plane as random sets reduces the problem of shape es...
Hanna K. Jankowski, Larissa I. Stanberry
VISUALIZATION
2003
IEEE
14 years 1 months ago
LightKit: A lighting system for effective visualization
LightKit is a system for lighting three-dimensional synthetic scenes. LightKit simplifies the task of producing visually pleasing, easily interpretable images for visualization w...
Michael Halle, Jeanette C. Meng
NIPS
2008
13 years 9 months ago
Estimating vector fields using sparse basis field expansions
We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
ICCV
2003
IEEE
14 years 9 months ago
Towards Direct Recovery of Shape and Motion Parameters from Image Sequences
A novel procedure is presented to construct image-domain filters (receptive fields) that directly recover local motion and shape parameters. These receptive fields are derived fro...
Stephen Benoit, Frank P. Ferrie