Title :
Video-based raindrop detection for improved image registration
Author :
Roser, Martin ; Geiger, Andreas
Author_Institution :
Dept. of Meas. & Control, Karlsruhe Inst. of Technol., Karlsruhe, Germany
fDate :
Sept. 27 2009-Oct. 4 2009
Abstract :
In this paper we present a novel approach to improved image registration in rainy weather situations. To this end, we perform monocular raindrop detection in single images based on a photometric raindrop model. Our method is capable of detecting raindrops precisely, even in front of complex backgrounds. The effectiveness is demonstrated by a significant increase in image registration accuracy which also allows for successful image restoration. Experiments on video sequences taken from within a moving vehicle prove the applicability to real-world scenarios.
Keywords :
image registration; image sequences; video signal processing; image restoration; improved image registration; monocular raindrop detection; photometric raindrop model; rainy weather situations; video sequences; video-based raindrop detection; Image registration;
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4442-7
Electronic_ISBN :
978-1-4244-4441-0
DOI :
10.1109/ICCVW.2009.5457650