25 September 2001 Estimation of rigid motion parameters using moment covariance matrix
Author Affiliations +
Proceedings Volume 4553, Visualization and Optimization Techniques; (2001); doi: 10.1117/12.441565
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
The estimation of rigid motion parameters has been investigated using Fourier transform and iterative techniques for over two decades. But the numerical efficiency remains a challenge. Especially for 3D case, there is no analytical algorithm. In this work, we propose to use the moment covariance matrix to estimate the orthogonal transform (i.e. rigid motion in real world). This algorithm does not depend on the dimension of the problem and is an analytical method. The numerical implementation is easy and efficient. The test results show that the proposed algorithm is accurate and well tolerent to noise variation.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi Zhang, Jason You, Ming Zhang, Patrick S. P. Wang, "Estimation of rigid motion parameters using moment covariance matrix", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441565; https://doi.org/10.1117/12.441565

Motion estimation

3D image processing

3D displays

3D modeling

Image fusion

Medical imaging

Computer vision technology


Feature detector and descriptor for medical images
Proceedings of SPIE (March 27 2009)
From voxel to curvature
Proceedings of SPIE (September 01 1991)
Stochastic structure estimation by motion
Proceedings of SPIE (November 01 1992)

Back to Top