
Proceedings Paper
Image registration under symmetric conditions: novel approachFormat | Member Price | Non-Member Price |
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Paper Abstract
Registering the 2D images is one of the important pre-processing steps in many computer vision applications like 3D reconstruction, building panoramic images. Contemporary registration algorithm like SIFT (Scale Invariant Feature transform) was not quite success in registering the images under symmetric conditions and under poor illuminations using DoF (Difference of Gaussian) features. In this paper, we introduced a novel approach for registering the images under symmetric conditions.
Paper Details
Date Published: 20 April 2015
PDF: 5 pages
Proc. SPIE 9477, Optical Pattern Recognition XXVI, 94770N (20 April 2015); doi: 10.1117/12.2179093
Published in SPIE Proceedings Vol. 9477:
Optical Pattern Recognition XXVI
David Casasent; Mohammad S. Alam, Editor(s)
PDF: 5 pages
Proc. SPIE 9477, Optical Pattern Recognition XXVI, 94770N (20 April 2015); doi: 10.1117/12.2179093
Show Author Affiliations
Prakash Duraisamy, Rochester Institute of Technology (United States)
Amr Yousef, Univ. of Business and Technology (Saudi Arabia)
Amr Yousef, Univ. of Business and Technology (Saudi Arabia)
Bill Buckles, Univ. of North Texas (United States)
Steve Jackson, Univ. of North Texas (United States)
Steve Jackson, Univ. of North Texas (United States)
Published in SPIE Proceedings Vol. 9477:
Optical Pattern Recognition XXVI
David Casasent; Mohammad S. Alam, Editor(s)
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