Surface Reconstruction

Type: 
BA/PR/DA
Persons: 
1
Workgroup: 

Description

I'm researching surface reconstruction from point clouds using machine learning. I have some ideas for improvement for my current work. It's currently in double-blind submission. Therefore, I can't tell too much here.

Tasks

  • Better architecture for the network
  • Iterative evaluation for better performance and to avoid error propagation
  • Regularization to get a smoother surface and get rid of noise
  • Some low-level optimization

Requirements

  • Knowledge of English language (source code comments and final report should be in English)
  • Basic knowledge of geometry for computer graphics (e.g. surface definition with vertices and faces, signed distance fields)
  • Bonus:
    • Basic knowledge of Python
    • Basic knowledge of Deep Learning (Pytorch)
    • Knowledge of modeling and geometry processing

Environment

The source code is currently pure Python for both Windows and Linux.

Contact

For more information please contact Philipp Erler (perler@cg.tuwien.ac.at).