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

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...

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Andreas Krutz, Michael R. Frater, Matthias Kunter, Thomas Sikora
• Keywords: ICIP 2006, Image Mean-squared Error, Image Processing, Image Pyramid Decomposition, Initial Parameter Estimation, Local Image Registration, Spatial Image Interpolation