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Windowed Image Registration for Robust Mosaicing of Scenes with Large Background Occlusions

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4 Author(s)
Andreas Krutz ; Communication Systems Group, TU Berlin, Berlin, Germany ; Michael Frater ; Matthias Kunter ; Thomas Sikora

We propose an enhanced window-based approach to local image registration for robust video mosaicing in scenes with arbitrarily moving foreground objects. Unlike other approaches, we estimate accurately the image transformation without any pre-segmentation even if large background regions are occluded. We apply a windowed hierarchical frame-to-frame registration based on image pyramid decomposition. In the lowest resolution level phase correlation for initial parameter estimation is used while in the next levels robust Newton-based energy minimization of the compensated image mean-squared error is conducted. To overcome the degradation error caused by spatial image interpolation due to the warping process, i.e. aliasing effects from under-sampling, final pixel values are assigned in an up-sampled image domain using a Daubechies bi-orthogonal synthesis filter. Experimental results show the excellent performance of the method compared to recently published methods. The image registration is sufficiently accurate to allow open-loop parameter accumulation for long-term motion estimation.

Published in:

2006 International Conference on Image Processing

Date of Conference:

8-11 Oct. 2006