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Proceedings Paper

Weighted least-squared error method for object localization
Author(s): Hsiang-Lung Wu
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Paper 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.

Paper Details

Date Published: 1 February 1991
PDF: 10 pages
Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); doi: 10.1117/12.25314
Show Author Affiliations
Hsiang-Lung Wu, North American Philips Corp. (United States)


Published in SPIE Proceedings Vol. 1384:
High-Speed Inspection Architectures, Barcoding, and Character Recognition
Michael J. W. Chen, Editor(s)

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