Fast and Robust 2D Parametric Image Registration
Eun-Young Elaine Kang, Isaac Cohen and Gerard Medioni
Camera stabilization is an important task for video analysis. In this report, we describe a method for estimating and stabilizing camera motion between two images via 2D image registration. Our approach is based on a pair-wise registration of images parameterized by 2D affine or projective transformation. Pair-wise image registration estimates transformation parameters for each pair of consecutive frames, and the transformation between arbitrary frames is computed by the concatenation of the pair-wise transformations. Pair-wise registration is based on 1) hierarchical parameter estimation and refinement 2) feature-matching 3) FFT(Fast Fourier Transformation)-based global matching 4) RANSAC-based parameter estimation.