Automatic scene reconstruction from partially overlapping images using online filter design

William J. Chimitt Jr.; Laurence G. Hassebrook

doi:10.1117/12.304762

23 March 1998 Automatic scene reconstruction from partially overlapping images using online filter design

William J. Chimitt Jr., Laurence G. Hassebrook

Proceedings Volume 3386, Optical Pattern Recognition IX; (1998) https://doi.org/10.1117/12.304762
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

William J. Chimitt Jr. and Laurence G. Hassebrook "Automatic scene reconstruction from partially overlapping images using online filter design", Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); https://doi.org/10.1117/12.304762

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