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» Markerless motion capture with single and multiple cameras
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CVPR
2009
IEEE
1724views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Optimal Single Image Capture for Motion Deblurring
Deblurring images of moving objects captured from a traditional camera is an ill-posed problem due to the loss of high spatial frequencies in the captured images. Recent techniques...
Amit K. Agrawal, Ramesh Raskar
VR
2008
IEEE
277views Virtual Reality» more  VR 2008»
13 years 7 months ago
Hybrid Feature Tracking and User Interaction for Markerless Augmented Reality
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time sys...
Taehee Lee 0002, Tobias Höllerer
ICASSP
2008
IEEE
14 years 2 months ago
Robust pose estimation based on Sylvester's equation: Single and multiple collaborative cameras
A method is introduced to track the object’s motion and estimate its pose from multiple cameras. Firstly pose estimation from one camera is explained. We show that pose estimati...
Chong Chen, Dan Schonfeld, Magdi A. Mohamed
ECCV
2010
Springer
14 years 27 days ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
CVPR
2009
IEEE
15 years 2 months ago
Dense 3D Motion Capture for Human Faces
This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and ...
Yasutaka Furukawa (University of Washington), Jean...