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» Single Image Deblurring Using Motion Density Functions
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ICIP
2004
IEEE
15 years 11 months ago
Markerless motion capture with single and multiple cameras
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...
Paris Kaimakis, Joan Lasenby
ICCV
2007
IEEE
15 years 11 months ago
Removing Non-Uniform Motion Blur from Images
We propose a method for removing non-uniform motion blur from multiple blurry images. Traditional methods focus on estimating a single motion blur kernel for the entire image. In ...
Sunghyun Cho, Yasuyuki Matsushita, Seungyong Lee
HUMO
2007
Springer
15 years 1 months ago
Efficient Upper Body Pose Estimation from a Single Image or a Sequence
We propose a method to find candidate 2D articulated model configurations by searching for locally optimal configurations under a weak but computationally manageable fitness functi...
Matheen Siddiqui, Gérard G. Medioni
CVPR
2006
IEEE
15 years 11 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
VMV
2001
125views Visualization» more  VMV 2001»
14 years 11 months ago
Motion Consistency for Image-Based Rendering
This paper presents an enhancement to current image-based rendering methods. It suggests that motion consistency can be used in a realtime dynamic rendering system to increase com...
Philippe Simard, Marcel Mitran, Frank P. Ferrie