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Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video. (arXiv:2205.09821v1 [cs.CV])
May 23, 2022, 1:12 a.m. | Dipan Mandal, Abhilash Jain, Sreenivas Subramoney
cs.CV updates on arXiv.org arxiv.org
We propose DFPNet -- an unsupervised, joint learning system for monocular
Depth, Optical Flow and egomotion (Camera Pose) estimation from monocular image
sequences. Due to the nature of 3D scene geometry these three components are
coupled. We leverage this fact to jointly train all the three components in an
end-to-end manner. A single composite loss function -- which involves image
reconstruction-based loss for depth & optical flow, bidirectional consistency
checks and smoothness loss components -- is used to train the …
arxiv cv flow learning unsupervised unsupervised learning video
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