Paper Info
Title
A Voting Decision Strategy For Image Registration Under Affine Transformation
Abstract
A new motion registration method based on specific level-line grouping from two images taken at different times is proposed in this paper. Our approach is an appropriate method for matching outdoor scene image sequences taken from an on-board camera, since it is robust toward contrast changes. Moreover, it does not require any estimate of the unknown transformation between images. The image registration is performed through an efficient level-line cumulative multi-stage election procedure. Each stage provides an improvement in estimating the unknown transformation. We consider in this study that the transformation between successive images is affine, which is a valid hypothesis under small time intervals between images. Our matching process is based upon adapted primitive invariants. Particular emphasis is placed on the primitive grouping process which depends on the nature of the chosen transformation.
Year
DOI
Venue
2010
10.1117/12.840027
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VIII
Keywords
Field
DocType
Motion Analysis, Image Registration, Level-Lines, Affine Transformation, Geometric invariants
Affine transformation,Computer vision,Voting,Image processing,Decision strategy,Artificial intelligence,Invariant (mathematics),Motion analysis,Image registration,Physics
Conference
Volume
ISSN
Citations 
7532
0277-786X
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Yasser Almehio181.50
Samia Bouchafa26410.64