A Probabilistic Approach to Optical Flow based Super-Resolution

Authors:
Rik Fransens;Christoph Strecha;Luc Van Gool
Affiliations:
ESAT-PSI, University of Leuven, Belgium;ESAT-PSI, University of Leuven, Belgium;ESAT-PSI, University of Leuven, Belgium/ ETH Zuerich, Switzerland
Venue:
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Year:
2004

Citing 0
Cited 2

A probabilistic formulation of image registration

IWCM'04 Proceedings of the 1st international conference on Complex motion
Variational method for super-resolution optical flow

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Statistical region-based segmentation methods such as the Active Appearance Model (AAM) are used for establishing dense correspondences in images based on learning the variation in shape and pixel intensities in a training set. For low resolution 2D ...