Abstract
Estimating the parameters of a pencil of lines is addressed. A statistical model for the measurements is developed, from which the Cramer Rao lower bound is determined. An estimator is derived, and its performance is simulated and compared to the bound. The estimator is shown to be asymptotically efficient, and superior to the classical least squares algorithm.
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© 2002 Springer-Verlag Berlin Heidelberg
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Speyer, G., Werman, M. (2002). Parameter Estimates for a Pencil of Lines: Bounds and Estimators. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds) Computer Vision — ECCV 2002. ECCV 2002. Lecture Notes in Computer Science, vol 2350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47969-4_29
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DOI: https://doi.org/10.1007/3-540-47969-4_29
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