DocumentCode :
3549175
Title :
Algebraically accurate volume registration using Euler´s theorem and the 3D pseudo-polar FFT
Author :
Keller, Yosi ; Averbuch, Amir ; Shkolnisky, Yoel
Author_Institution :
Dept. of Math., Yale Univ., New Haven, CT, USA
Volume :
2
fYear :
2005
fDate :
20-25 June 2005
Firstpage :
795
Abstract :
We present an algorithm for the registration of rotated and translated volumes, which operates in the frequency domain. The Fourier domain allows to compute the rotation and translation parameters separately, thus reducing a problem with six degrees of freedom to two problems of three degrees of freedom each. We propose a three-step procedure. The first step estimates the rotation axis. The second computes the planar rotation relative to the rotation axis, and the third recovers the translational displacement by using the phase correlation technique. The rotation estimation is based on Euler´s theorem, which allows to represent a rotation using only three parameters. Two parameters represent the rotation axis and one parameter represents the planar rotation perpendicular to the axis. By using the 3D pseudo-polar FFT, the estimation of the rotation axis is shown to be algebraically accurate. A variant of the angular difference function registration algorithm is derived for the estimation of the planar rotation around the axis. The experimental results show that the algorithm is accurate and robust to noise.
Keywords :
computational geometry; fast Fourier transforms; image registration; parameter estimation; 3D pseudo-polar FFT; Euler theorem; algebraically accurate volume registration; angular difference function registration algorithm; planar rotation computation; rotation axis estimation; rotation parameter; translation parameter; translational displacement recovery; Cost function; Fourier transforms; Frequency domain analysis; Iterative algorithms; Iterative closest point algorithm; Mathematics; Motion estimation; Optimization methods; Rough surfaces; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.66
Filename :
1467524
Link To Document :
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