| Popis: |
Classical nonlinear methods for finding the relative orientation between a camera and an object suffer from considerable computation time and requirement for a good initial estimate, while linear methods, which do not need an initial estimate, are sensitive to noise and outliers. In this paper, we study the performances of different solution methods in the presence of noise and outliers. We also present a new iterative algorithm which is efficient, globally convergent, and relatively robust to noise and outliers.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
