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Journal of Electronic Imaging

Practical image registration concerns overcome by the weighted and filtered mutual information metric
Author(s): Tommy P. Keane; Harvey E. Rhody; Eli Saber; Andreas E. Savakis; Jeffrey Raj
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Paper Abstract

Contemporary research in automated panorama creation utilizes camera calibration or extensive knowledge of camera locations and relations to each other to achieve successful results. Research in image registration attempts to restrict these same camera parameters or apply complex point-matching schemes to overcome the complications found in real-world scenarios. This paper presents a novel automated panorama creation algorithm by developing an affine transformation search based on maximized mutual information (MMI) for region-based registration. Standard MMI techniques have been limited to applications with airborne/satellite imagery or medical images. We show that a novel MMI algorithm can approximate an accurate registration between views of realistic scenes of varying depth distortion. The proposed algorithm has been developed using stationary, color, surveillance video data for a scenario with no a priori camera-to-camera parameters. This algorithm is robust for strict- and nearly-affine-related scenes, while providing a useful approximation for the overlap regions in scenes related by a projective homography or a more complex transformation, allowing for a set of efficient and accurate initial conditions for pixel-based registration.

Paper Details

Date Published: 27 June 2012
PDF: 18 pages
J. Electron. Imag. 21(2) 023029 doi: 10.1117/1.JEI.21.2.023029
Published in: Journal of Electronic Imaging Volume 21, Issue 2
Show Author Affiliations
Tommy P. Keane, Rochester Institute of Technology (United States)
Harvey E. Rhody, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Andreas E. Savakis, Rochester Institute of Technology (United States)
Jeffrey Raj, Lenel Systems International Inc. (United States)

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