Existing stereo matching methods achieve satisfactory average accuracy on a whole predicted disparity map under common global metrics, but ignore the fine-grained performance at region level, ...

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The proposed system estimates the semi-dense disparity in real-time by matching heterogeneous data of an event and a frame camera in stereo. We propose an accurate, intuitive and efficient way to ...