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» Shape Estimation in Natural Illumination
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ICCV
2003
IEEE
16 years 3 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
108
Voted
ICIP
2008
IEEE
16 years 3 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»
15 years 11 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
121
Voted
MVA
1998
140views Computer Vision» more  MVA 1998»
15 years 1 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
105
Voted
TVCG
2011
126views more  TVCG 2011»
14 years 8 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