DocumentCode
3425580
Title
A Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration
Author
Meilland, Maxime ; Drummond, Tom ; Comport, Andrew I.
Author_Institution
I3S, Univ. of Nice Sophia Antipolis, Nice, France
fYear
2013
fDate
1-8 Dec. 2013
Firstpage
2016
Lastpage
2023
Abstract
Motion blur and rolling shutter deformations both inhibit visual motion registration, whether it be due to a moving sensor or a moving target. Whilst both deformations exist simultaneously, no models have been proposed to handle them together. Furthermore, neither deformation has been considered previously in the context of monocular full-image 6 degrees of freedom registration or RGB-D structure and motion. As will be shown, rolling shutter deformation is observed when a camera moves faster than a single pixel in parallax between subsequent scan-lines. Blur is a function of the pixel exposure time and the motion vector. In this paper a complete dense 3D registration model will be derived to account for both motion blur and rolling shutter deformations simultaneously. Various approaches will be compared with respect to ground truth and live real-time performance will be demonstrated for complex scenarios where both blur and shutter deformations are dominant.
Keywords
image colour analysis; image motion analysis; image registration; 3D visual registration; RGB-D motion; RGB-D structure; blur deformations; ground truth; monocular full-image context; motion blur model; moving sensor; moving target; red-green-blue-depth; rolling shutter deformations; unified rolling shutter; visual motion registration; Cameras; Deformable models; Estimation; Mathematical model; Real-time systems; Solid modeling; Three-dimensional displays; Dense; Motion Blur; Real-time; Registration; Rolling Shutter; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location
Sydney, VIC
ISSN
1550-5499
Type
conf
DOI
10.1109/ICCV.2013.252
Filename
6751361
Link To Document