Computing the stereo matching cost with a convolutional neural network
Computing the stereo matching cost with a convolutional neural network
We present a method for extracting depth information from a rectified image pair. We train a convolutional neural network to predict how well two image patches match and use it to compute the stereo matching cost. The cost is refined by cross-based cost aggregation and semiglobal matching, followed by a …