Estimation of camera planar motion from blurred images

Author

Zitova, Barbara ; Flusser, Jan

Author_Institution

Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Praha, Czech Republic

Volume

2

fYear

2002

fDate

2002

Abstract

The topic of the paper is to estimate parameters of the camera motion using images taken at initial and current positions of the camera. An original method handling defocused images or images blurred in other ways is proposed. The method is based on registering the images by means of detected control points (CP) and so-called combined invariants. These features are invariant both to rigid-body transform and to blurring caused by convolution with an arbitrary centrosymmetric point-spread function (PSF). Thanks to this, the camera position can be estimated directly from defocused images without any deblurring.

Keywords

feature extraction; image registration; motion estimation; parameter estimation; PSF; arbitrary centrosymmetric point-spread function; blurred images; camera planar motion; combined invariants; control points; convolution; defocused images; image registration; invariant features; parameter estimation; rigid-body transform; Automation; Cameras; Computer vision; Convolution; Information theory; Interpolation; Layout; Motion estimation; Noise robustness; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing. 2002. Proceedings. 2002 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7622-6

Type

conf

DOI

10.1109/ICIP.2002.1039954

Filename

1039954