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Proceedings Paper

A voting decision strategy for image registration under affine transformation
Author(s): Yasser Almehio; Samia Bouchafa
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Paper 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.

Paper Details

Date Published: 8 February 2010
PDF: 8 pages
Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320B (8 February 2010); doi: 10.1117/12.840027
Show Author Affiliations
Yasser Almehio, Univ. Paris-Sud XI (France)
Samia Bouchafa, Univ. Paris-Sud XI (France)


Published in SPIE Proceedings Vol. 7532:
Image Processing: Algorithms and Systems VIII
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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