Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints

We present a novel approach for unsupervised learning of depth and ego-motion from monocular video. Unsupervised learning removes the need for separate supervisory signals (depth or ego-motion ground truth, or multi-view video)... (read more)

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