Simplified 3D motion estimation with point correspondences

Tao Wang; Xiaoliang Xing; Xinhua Zhuang

doi:10.1117/12.138487

18 January 1993 Simplified 3D motion estimation with point correspondences

Tao Wang, Xiaoliang Xing, Xinhua Zhuang

Author Affiliations +

Proceedings Volume 1713, International Conference on Manufacturing Automation; (1993) https://doi.org/10.1117/12.138487
Event: International Conference on Manufacturing Automation, 1992, Hong Kong, Hong Kong

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.

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Tao Wang, Xiaoliang Xing, and Xinhua Zhuang "Simplified 3D motion estimation with point correspondences", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138487

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