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» A Computational Framework for Handling Motion
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KDD
2002
ACM
152views Data Mining» more  KDD 2002»
14 years 9 months ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi
ICCV
2009
IEEE
15 years 1 months ago
Static Multi-Camera Factorization Using Rigid Motion
Camera networks have gained increased importance in recent years. Previous approaches mostly used point correspondences between different camera views to calibrate such systems....
Roland Angst, Marc Pollefeys
SIBGRAPI
2006
IEEE
14 years 3 months ago
Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection
Sharp discontinuities in depth, or depth edges, are very important low-level features for scene understanding. Recently, we have proposed a solution to the depth edge detection pr...
Rogerio Feris, Matthew Turk, Ramesh Raskar
CVPR
2008
IEEE
14 years 11 months ago
PSF estimation using sharp edge prediction
Image blur is caused by a number of factors such as motion, defocus, capturing light over the non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a c...
Neel Joshi, Richard Szeliski, David J. Kriegman
MICCAI
2004
Springer
14 years 10 months ago
Three-Dimensional Shape-Motion Analysis of the Left Anterior Descending Coronary Artery in EBCT Images
In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in ...
Alberto Santamaría-Pang, Amol Pednekar, Ioa...