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» Shape Estimation in Natural Illumination
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ICCV
2003
IEEE
14 years 11 months ago
Tracking Objects Using Density Matching and Shape Priors
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...
Tao Zhang, Daniel Freedman
ICIP
2008
IEEE
14 years 11 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
CVPR
2010
IEEE
1814views Computer Vision» more  CVPR 2010»
14 years 6 months ago
Depth from Diffusion
An optical diffuser is an element that scatters light and is commonly used to soften or shape illumination. In this paper, we propose a novel depth estimation method that places a ...
Changyin Zhou, Oliver Cossairt, Shree Nayar
MVA
1998
140views Computer Vision» more  MVA 1998»
13 years 8 months ago
Improved Disparity Estimation by Matching with an Adaptive Window
A novel technique for disparity estimation based on block matching with a local adaptive window is introduced in this paper. In the proposed approach the size and shape of the ref...
Ebroul Izquierdo
TVCG
2011
126views more  TVCG 2011»
13 years 4 months ago
A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes
—This paper presents a study of gradient estimation methods for rendering unstructured-mesh volume data. Gradient estimation is necessary for rendering shaded isosurfaces and spe...
Carlos D. Correa, Robert Hero, Kwan-Liu Ma