Estimating affine transformations in the frequency domain

Author

Lucchese, Luca

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

2

fYear

2001

Firstpage

909

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958642

Filename

958642