Consistent Video Depth Estimation

Consistent Video Depth Estimation

Abstract We present an algorithm for reconstructing dense, geometrically consistent depth for all...概要を表示 Abstract We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstruction to establish geometric constraints on pixels in the video. Unlike the ad-hoc priors in classical reconstruction, we use a learning-based prior, i.e., a convolutional neural network trained for single-image dep

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