Transcription of RayNet: Learning Volumetric 3D Reconstruction ... - cvlibs.net
{{id}} {{{paragraph}}}
Example: dental hygienist
RayNet: Learning Volumetric 3D Reconstruction ... - cvlibs.net
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials Despoina Paschalidou1,5 Ali Osman Ulusoy2 Carolin Schmitt1 Luc van Gool3 Andreas Geiger1,4. 1. Autonomous Vision Group, MPI for Intelligent Systems and University of T ubingen 2. Microsoft 3 Computer Vision Lab, ETH Z urich & KU Leuven 4. Computer Vision and Geometry Group, ETH Z urich 5. Max Planck ETH Center for Learning Systems Abstract In this paper, we consider the problem of reconstruct- ing a dense 3D model using images captured from differ- ent views. Recent methods based on convolutional neu- ral networks (CNN) allow Learning the entire task from data.
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials Despoina Paschalidou 1;5 Ali Osman Ulusoy2 Carolin Schmitt Luc van Gool3 Andreas Geiger1;4 1Autonomous Vision Group, MPI for Intelligent Systems and University of Tubingen¨ 2Microsoft 3Computer Vision Lab, ETH Zurich & KU Leuven¨ 4Computer Vision and Geometry Group, ETH Zurich¨ 5Max Planck ETH Center for Learning …
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: