Highest Accuracy Fundamental Matrix Computation

نویسندگان

  • Yasuyuki Sugaya
  • Kenichi Kanatani
چکیده

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.

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تاریخ انتشار 2007