Weighted least-squared error method for object localization

Hsiang-Lung Wu

doi:10.1117/12.25314

1 February 1991 Weighted least-squared error method for object localization

Hsiang-Lung Wu

Proceedings Volume 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition; (1991) https://doi.org/10.1117/12.25314
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

This paper presents a new model-based method for estimating the object location. The estimation of the object location is formulated as a weighted least squared-error problem and its optimal solution is found using quaternions. The method can automatically de-emphasize the uncertain components of the vectors that represent positions of features in estimating the object location. This approach can locate objects more accurately than traditional approaches when feature positions have various inaccurate components. The experiments show that the estimation of the object location degenerates slower using the new method thafl using the traditional least squared-error approach.

Citation Download Citation

Hsiang-Lung Wu "Weighted least-squared error method for object localization", Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); https://doi.org/10.1117/12.25314

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