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Project: Consistent Video Depth Estimation Using Python And Machine Learning

Title: Consistent Video Depth Estimation Using Python And Machine Learning

About This Machine Learning Project:

In this project, Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen and Johannes Kopf present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video.

They leverage a conventional structure-from-motion reconstruction to establish geometric constraints on pixels in the video. Unlike the ad-hoc priors in classical reconstruction, they use a learning-based prior, i.e., a convolutional neural network trained for single-image depth estimation.

Code: Consistent Video Depth Estimation

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