DocumentCode
394554
Title
"Super-resolution curve" and image registration
Author
Xia, Minghui ; Liu, Bede
Author_Institution
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Volume
3
fYear
2003
fDate
6-10 April 2003
Abstract
An affine invariant 2D curve matching and alignment approach is proposed to solve the image registration problem. Superior accuracy and efficiency is achieved by a concept called super-resolution curve and a technique called B-spline fusion. A super-resolution curve is formed by superimposing two affine related and registered curves (in discrete form) upon each other. The B-spline fusion technique is designed to obtain a single B-spline approximation of the super-resolution curve and registration estimate simultaneously. Occlusion is handled by curve segmentation using inflections and cusps, which are affine invariant. Partial match then becomes possible by matching segments of curves. A complete image registration framework based on edge detection and curve alignment is then proposed. Accurate registration results have been achieved.
Keywords
curve fitting; edge detection; image matching; image registration; image resolution; image segmentation; splines (mathematics); 2D curve matching; B-spline approximation; B-spline fusion; accuracy; affine invariant alignment; curve alignment; curve segmentation; cusps; edge detection; efficiency; image registration; inflections; occlusion; partial match; segment matching; super-resolution curve; Contacts; Discrete transforms; Image edge detection; Image registration; Image resolution; Image segmentation; Pattern recognition; Shape; Spline; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1199523
Filename
1199523
Link To Document