@inproceedings{1d7ea724b5c54947952e82166815a5e9,
title = "Feature matching and pose estimation using newton iteration",
abstract = "Feature matching and pose estimation are two crucial tasks in computer vision. The widely adopted scheme is first find the correct matches then estimate the transformation parameters. Unfortunately, such simple scheme does not work well sometimes, because these two tasks of matching and estimation are mutually interlocked. This paper proposes a new method that is able to estimate the transformation and find the correct matches simultaneously. The above interlock is disentangled by an alternating Newton iteration method. We formulate the problem as a nearest-matrix problem, and provide a different numerical technique. Experiments on both synthetic and real images gave good results. Fast global convergence was obtained without the need of good initial guess.",
author = "Hongdong Li and Richard Hartley",
year = "2005",
doi = "10.1007/11553595_24",
language = "English",
isbn = "3540288694",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "196--203",
booktitle = "Image Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings",
address = "Germany",
note = "13th International Conference on Image Analysis and Processing, ICIAP 2005 ; Conference date: 06-09-2005 Through 08-09-2005",
}