Scene reconstruction from partially overlapping images with use of composite filters
JOSA A, Vol. 16, Issue 9, pp. 2124-2135 (1999)
http://dx.doi.org/10.1364/JOSAA.16.002124
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Abstract
In many image processing applications, it is desirable to combine partially overlapping images into one larger scene. We introduce a supervised correlation filter method that automatically detects overlapping image pairs and estimates proper alignment. We use on-line composite filter design to achieve rotation- and overlap-invariant image pairing. We present stochastic system analysis that provides closed-form expressions that predict correlation plane response distribution, defines an overlap-invariant filter bank architecture, and obtains the optimum training set size. The resulting high-level image processing method is numerically efficient, suited for optoelectronic implementation, and competitive with manual reconstruction in speed and accuracy.
© 1999 Optical Society of America
[Optical Society of America ]
OCIS Codes
(070.5010) Fourier optics and signal processing : Pattern recognition
(070.6110) Fourier optics and signal processing : Spatial filtering
(100.5760) Image processing : Rotation-invariant pattern recognition
(100.6640) Image processing : Superresolution
(110.2990) Imaging systems : Image formation theory
(200.4740) Optics in computing : Optical processing
Citation
William J. Chimitt, Jr. and Laurence G. Hassebrook, "Scene reconstruction from partially overlapping images with use of composite filters," J. Opt. Soc. Am. A 16, 2124-2135 (1999)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-16-9-2124
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