Title :
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
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;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1039954