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Proceedings Paper

Automatic scene reconstruction from partially overlapping images using online filter design
Author(s): William J. Chimitt; Laurence G. Hassebrook
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Paper Abstract

In many image processing applications, the field of view is not large enough to display the required scene. We present a method for reconstructing an entire scene from multiple, partially overlapping fields of view where the lateral position, orientation and the amount of overlap of the camera views are unknown. Rotation-invariant, correlation based filters are used to determine if two image segments (fields of view) register. The filter output provides the relative position and rotation between matching segments. All filters are created on-line. An automated supervisor selects image segments for correlation and then uses these results to register the image segments and assemble the entire scene without human intervention. Also presented are the results of software controlled automatic assembly of a multiple image scene.

Paper Details

Date Published: 23 March 1998
PDF: 11 pages
Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); doi: 10.1117/12.304762
Show Author Affiliations
William J. Chimitt, Univ. of Kentucky (United States)
Laurence G. Hassebrook, Univ. of Kentucky (United States)


Published in SPIE Proceedings Vol. 3386:
Optical Pattern Recognition IX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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