Deep Fundamental Matrix Estimation

ECCV 2018 Rene RanftlVladlen Koltun

We present an approach to robust estimation of fundamental matrices from noisy data contaminated by outliers. The problem is cast as a series of weighted homogeneous least-squares problems, where robust weights are estimated using deep networks... (read more)

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