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Proceedings Paper

Estimation of rigid motion parameters using moment covariance matrix
Author(s): Chi Zhang; Jason You; Ming Zhang; Patrick S. P. Wang
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Paper Abstract

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.

Paper Details

Date Published: 25 September 2001
PDF: 2 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441565
Show Author Affiliations
Chi Zhang, Northeastern Univ. (United States)
Jason You, Medical OnLine, Inc. (United States)
Ming Zhang, Medical OnLine, Inc. (United States)
Patrick S. P. Wang, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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