COMPARISON OF NEWTON-GAUSS WITH LEVENBERG-MARQUARDT ALGORITHM FOR SPACE RESECTION

摘要

Based on the perspective view of non-linear model fitting, a new algorithm for space resection based on Levenberg-Marquardt algorithm was developed in this paper. The relationship between the new algorithm and the current one, which is commonly implemented in the commercial software, was also discussed. The experimental evaluation of both algorithms with different level of inaccurate initial approximation was conducted, which demonstrates the superiority of the algorithm.