Paper
17 August 2000 Image registration for perspective deformation recovery
George Wolberg, Siavash Zokai
Author Affiliations +
Abstract
This paper describes a hierarchical image registration algorithm to infer the perspective transformation that best matches a pair of images. This work estimates the perspective parameters by approximating the transformation to be piecewise affine. We demonstrate the process by subdividing a reference image into tiles and applying affine registration to match them in the target image. The affine parameters are computed iteratively in a coarse-to-fine hierarchical framework using a variation of the Levenberg-Marquadt nonlinear least squares optimization method. This approach yields a robust solution that precisely registers image tiles with subpixel accuracy. The corresponding image tiles are used to estimate a global perspective transformation. We demonstrate this approach on pairs of digital images subjected to large perspective deformation.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George Wolberg and Siavash Zokai "Image registration for perspective deformation recovery", Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); https://doi.org/10.1117/12.395570
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CITATIONS
Cited by 26 scholarly publications.
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KEYWORDS
Image registration

Image fusion

Image segmentation

Image sensors

Image restoration

Image processing

Cameras

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