Myvideo

Guest

Login

Out-of-Core Surface Reconstruction via Global TGV Minimization, Nikolai Poliarnyi, ICCV 2021

Uploaded By: Myvideo
1 view
0
0 votes
0

We present an out-of-core variational approach for surface reconstruction from a set of aligned depth maps. Input depth maps are supposed to be reconstructed from regular photos or/and can be a representation of terrestrial LIDAR point clouds. Our approach is based on surface reconstruction via total generalized variation minimization (TGV) because of its strong visibility-based noise-filtering properties and GPU-friendliness. Our main contribution is an out-of-core OpenCL-accelerated adaptation of this numerical algorithm which can handle arbitrarily large real-world scenes with scale diversity. Paper - Presented on ICCV 2021 -

Share with your friends

Link:

Embed:

Video Size:

Custom size:

x

Add to Playlist:

Favorites
My Playlist
Watch Later