Paper
21 May 2015 Cueing motion blur for registration of inclined planar scenes
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arun Asokan Nair, M. Purnachandra Rao, A. N. Rajagopalan, and Guna Seetharaman "Cueing motion blur for registration of inclined planar scenes", Proc. SPIE 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V, 947304 (21 May 2015); https://doi.org/10.1117/12.2176869
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KEYWORDS
Cameras

Image registration

Point spread functions

Motion models

Image restoration

Motion estimation

Image processing

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