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On the confidence of stereo matching in a deep-learning era: a quantitative evaluation.
Matteo Poggi
Seungryong Kim
Fabio Tosi
Sunok Kim
Filippo Aleotti
Dongbo Min
Kwanghoon Sohn
Stefano Mattoccia
Published in:
CoRR (2021)
Keyphrases
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quantitative evaluation
stereo matching
deep learning
ground truth
stereo vision
stereo images
unsupervised learning
depth map
dynamic programming
disparity map
post processing
machine learning
belief propagation
mental models
image matching
image registration
quality assessment
learning algorithm
weakly supervised