Image registration for perspective deformation recovery

George Wolberg; Siavash Zokai

doi:10.1117/12.395570

17 August 2000 Image registration for perspective deformation recovery

George Wolberg, Siavash Zokai

Proceedings Volume 4050, Automatic Target Recognition X; (2000) https://doi.org/10.1117/12.395570
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

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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