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» Deriving Intrinsic Images from Image Sequences
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ECCV
2004
Springer
15 years 12 hour ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
ICPR
2010
IEEE
13 years 10 months ago
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
Superresolution is a technique to recover a highresolution image from a low resolution image . We develop a variational superresolution method for the subpixel accurate optical ï¬...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...
EMMCVPR
2011
Springer
12 years 10 months ago
Optical Flow Guided TV-L1 Video Interpolation and Restoration
The ability to generate intermediate frames between two given images in a video sequence is an essential task for video restoration and video post-processing. In addition, restorat...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
CVPR
2000
IEEE
15 years 4 days ago
Representation and Recognition of Complex Human Motion
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
Jesse Hoey, James J. Little
IBPRIA
2003
Springer
14 years 3 months ago
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images
Abstract. This paper deals with the problem of reconstructing a highresolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displace...
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos...