Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning

10 Feb 2020Max Mehltretter

Motivated by the need to identify erroneous disparity assignments, various approaches for uncertainty and confidence estimation of dense stereo matching have been presented in recent years. As in many other fields, especially deep learning based methods have shown convincing results... (read more)

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