RoutedFusion: Learning Real-Time Depth Map Fusion

@article{Weder2020RoutedFusionLR,
  title={RoutedFusion: Learning Real-Time Depth Map Fusion},
  author={Silvan Weder and Johannes L. Sch{\"o}nberger and M. Pollefeys and Martin R. Oswald},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={4886-4896}
}
The efficient fusion of depth maps is a key part of most state-of-the-art 3D reconstruction methods. Besides requiring high accuracy, these depth fusion methods need to be scalable and real-time capable. To this end, we present a novel real-time capable machine learning-based method for depth map fusion. Similar to the seminal depth map fusion approach by Curless and Levoy, we only update a local group of voxels to ensure real-time capability. Instead of a simple linear fusion of depth… Expand
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