27 June 2012 Practical image registration concerns overcome by the weighted and filtered mutual information metric
Tommy P. Keane, Harvey E. Rhody, Eli Saber, Andreas E. Savakis, Jeffrey Raj
Author Affiliations +
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.
© 2012 SPIE and IS&T 0091-3286/2012/$25.00 © 2012 SPIE and IS&T
Tommy P. Keane, Harvey E. Rhody, Eli Saber, Andreas E. Savakis, and Jeffrey Raj "Practical image registration concerns overcome by the weighted and filtered mutual information metric," Journal of Electronic Imaging 21(2), 023029 (27 June 2012). https://doi.org/10.1117/1.JEI.21.2.023029
Published: 27 June 2012
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CITATIONS
Cited by 2 patents.
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KEYWORDS
Principal component analysis

Wavelets

Databases

Facial recognition systems

Detection and tracking algorithms

Feature extraction

Image registration

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