Title :
Estimating affine transformations in the frequency domain
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
Estimation of 2D affine transformations is involved in several image processing and computer vision problems. Affine transformations are widely used for modelling relations between pairs of images. This paper presents a new frequency domain technique for estimating this kind of transformation. It consists of two main steps: (1) the affine matrix is first estimated by solving, with a coarse-to-fine strategy, a suitable nonlinear minimization problem formulated upon the radial projections of the image energies; (2) after compensating for the contribution of the affine matrix, the translation vector is then recovered by means of standard phase correlation. Experimental evidence of the effectiveness of this technique is reported and discussed
Keywords :
correlation methods; frequency-domain analysis; matrix algebra; minimisation; motion estimation; nonlinear estimation; 2D affine transformations; affine matrix estimation; computer vision; frequency domain technique; image energies; image processing; nonlinear minimization problem; phase correlation; radial projections; translation vector; Computer vision; Frequency domain analysis; Frequency estimation; Image registration; Linearity; Motion estimation; Parameter estimation; Pattern recognition; Phase estimation; Shape;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958642
