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SfM-Net: Learning of Structure and Motion from Video (2017)
Authors: Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki
Affiliations: Google, Inria Research Institute, CMU
SfM-Net is a geometry-aware neural network for motion estimation in videos.
From two video frames, the CNN can regress scene depth, camera rotation+translation, motion masks, and 3D rigid rotations and translations.
These can be backprojected into 3D scene flow and 2D optical flow for frame interpolation.
Method
Architecture
References
