Abraham Bachrach

End-To-End Learning of Geometry and Context for Deep Stereo Regression

We propose a novel deep learning architecture for regressing disparity from a rectified pair of stereo images. We leverage knowledge of the problem's geometry to form a cost volume using deep feature representations. We learn to incorporate contextual information using 3-D convolutions over this vol…