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Proceedings Paper

Cueing motion blur for registration of inclined planar scenes
Author(s): Arun Asokan Nair; M. Purnachandra Rao; A. N. Rajagopalan; Guna Seetharaman
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Paper Abstract

Existing image registration methods that work in the presence of motion blur assume the scene to be fronto-parallel. In this work, we extend the state-of-the-art by cueing motion blur itself to infer plane inclination. This is achieved by matching extremities of blur kernels computed at different locations in the image. Because these extremities correspond to the same homography, we show that it is possible to find the orientation. Following this, we propose a registration method that reorients the source image to the target plane within a reblur-difference framework to detect the actual changes.

Paper Details

Date Published: 21 May 2015
PDF: 9 pages
Proc. SPIE 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V, 947304 (21 May 2015); doi: 10.1117/12.2176869
Show Author Affiliations
Arun Asokan Nair, Indian Institute of Technology Madras (India)
M. Purnachandra Rao, Indian Institute of Technology Madras (India)
A. N. Rajagopalan, Indian Institute of Technology Madras (India)
Guna Seetharaman, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 9473:
Geospatial Informatics, Fusion, and Motion Video Analytics V
Matthew F. Pellechia; Kannappan Palaniappan; Peter J. Doucette; Shiloh L. Dockstader; Gunasekaran Seetharaman; Paul B. Deignan, Editor(s)

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