Parameter Estimates for a Pencil of Lines: Bounds and Estimators

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.

• Type: Conference
• Year: 2002
• Where: ECCV
• Authors: Gavriel Speyer, Michael Werman
• Keywords: Computer Vision, ECCV 2002, Rao Lower Bound