Highest Accuracy Fundamental Matrix Computation

@inproceedings{Sugaya2007HighestAF,
  title={Highest Accuracy Fundamental Matrix Computation},
  author={Yasuyuki Sugaya and Kenichi Kanatani},
  booktitle={ACCV},
  year={2007}
}
We compare algorithms for fundamental matrix computation, which we classify into “a posteriori correction”, “internal access”, and “external access”. Doing experimental comparison, we show that the 7-parameter Levenberg-Marquardt (LM) search and the extended FNS (EFNS) exhibit the best performance and that additional bundle adjustment does not increase the accuracy to any noticeable degree.