Registering long-term image series

Authors:
Detlev Droege;Dietrich Paulus
Affiliations:
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany;Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

Citing 3
Cited 0

A new foreground extraction scheme for video streams

MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Recognising Panoramas

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article we present a method to register image sequences taken at long time intervals. We suggest an improvement to Wards registration method for high dynamic range images to achieve limited sub-pixel accuracy. We show the chosen method to be appropriate even for heavily changing lighting conditions.