SSSSLIDE

Deep Learning for Structure-from-Motion (SfM)

byResearch Fellow, SERI

2017/08/07にアップロード

Deconstructing SfM-Net architecture and beyond

"SfM-Net, a geometry-aware neural network for motion estimation in videos that decomposes frame-to-frame pixel motion in terms of scene and object depth, camera motion and 3D object rotations and translations. Given a sequence of frames, SfM-Net predicts depth, segmentation, camera and rigid object motions, converts those into a dense frame-to-frame motion field (optical flow), differentiably warps frames in time to match pixels and back-propagates."

Alternative download:
https://www.dropbox.com/s/aezl7ro8sy2xq7j/sfm_net_v2.pdf?dl=0

参照元: http://www.slideshare.net/PetteriTeikariPhD/deconstructing-sfmnet