ICCV WS 2017 (Conference Paper)

A new framework for integrating geometrical measurements of monocular visual SLAM and depth prediction using convolutional neural network (CNN).
  • Introduced mesh deformation approach to fuse geometrical measurements and depth prediction.
  • Reduced the reconstruction error by 38% compared to using CNN-based depth map prediction alone.

Tomoyuki Mukasa, Jiu Xu, and Bjorn Stenger: 
3D Scene Mesh From CNN Depth Predictions And Sparse Monocular SLAM, 
The 2nd Workshop on Geometry Meets Deep Learning, ICCV 2017.

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