Reach For the Arcs: Reconstructing Surfaces from SDFs via Tangent Points

Publication

ACM Siggraph 2024 Conference Papers

Abstract

We introduce an algorithm to reconstruct a mesh from discrete samples of a shape’s Signed Distance Function (SDF). A simple geometric reinterpretation of the SDF lets us formulate the problem through a point cloud, from which a surface can be extracted with existing techniques. We extract all possible information from the SDF data, outperforming commonly used algorithms and imposing no topological or geometric restrictions.

Resources

• Paper (19 MB)

Citation

@inproceedings{10.1145/3641519.3657419,
  author = {Sell\'{a}n, Silvia and Ren, Yingying and Batty, Christopher and Stein, Oded},
  title = {Reach for the Arcs: Reconstructing Surfaces from SDFs via Tangent Points},
  year = {2024},
  isbn = {9798400705250},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3641519.3657419},
  doi = {10.1145/3641519.3657419},
  abstract = {We introduce an algorithm to reconstruct a mesh from discrete samples of a shape’s Signed Distance Function (SDF). A simple geometric reinterpretation of the SDF lets us formulate the problem through a point cloud, from which a surface can be extracted with existing techniques. We extract all possible information from the SDF data, outperforming commonly used algorithms and imposing no topological or geometric restrictions.},
  booktitle = {ACM SIGGRAPH 2024 Conference Papers},
  articleno = {23},
  numpages = {12},
  keywords = {point cloud, reconstruction, signed distance function},
  location = {Denver, CO, USA},
  series = {SIGGRAPH '24}
}