DocumentCode
2121722
Title
Removing rolling shutter distortion using optical flow and RANSAC
Author
Woo Jin Jeong ; Young Shik Moon
Author_Institution
Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul, South Korea
fYear
2015
fDate
9-12 Jan. 2015
Firstpage
337
Lastpage
338
Abstract
CMOS camera modules are used for smartphone. But CMOS camera modules have a problem of rolling shutter effect. In this paper, we propose an efficient method of removing the rolling shutter effect. We first compute the global motion vector by using the optical flow and the camera motion estimation algorithm. Then we estimate the velocity for each row of sensor array. Finally the distorted image is realigned. Experimental results show that the proposed method is more robust and faster than the previous method.
Keywords
CMOS image sensors; image sequences; motion estimation; optical distortion; optical elements; sensor arrays; smart phones; CMOS camera modules; RANSAC; camera motion estimation algorithm; global motion vector; optical flow; rolling shutter distortion; sensor array; smartphone; Arrays; CMOS integrated circuits; Cameras; Computer vision; Optical distortion; Optical imaging; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-7542-6
Type
conf
DOI
10.1109/ICCE.2015.7066435
Filename
7066435
Link To Document