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Proceedings Paper

Simplified 3D motion estimation with point correspondences
Author(s): Tao Wang; Xiaoliang Xing; Xinhua Zhuang
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Paper Abstract

A robust estimator, called simplified MF-estimator, to determine 3-D motion parameters is investigated in the paper. According to the Bayesian decision rule, it partitions a given data set into a subset containing good observations and a subset containing bad observations. The estimator can implement a least-squares estimator on the good data, and down-weight the outliers. To speed convergence of the algorithm, an annealing schedule is used. Finally, a great number of simulations are conducted to show robustness of this algorithm.

Paper Details

Date Published: 18 January 1993
PDF: 11 pages
Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); doi: 10.1117/12.138487
Show Author Affiliations
Tao Wang, Zhejiang Univ. (China)
Xiaoliang Xing, Zhejiang Univ. (China)
Xinhua Zhuang, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 1713:
International Conference on Manufacturing Automation
Anand Krishna Asundi; S. T. Tan, Editor(s)

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