End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo

We present a new deep learning-based approach for dense stereo matching. Compared to previous works, our approach does not use deep learning of pixel appearance descriptors, employing very fast classical matching scores instead... (read more)

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