Subjective surfaces: a method for completing missing boundaries.

  title={Subjective surfaces: a method for completing missing boundaries.},
  author={Augusto Sarti and Ravi Malladi and James A. Sethian},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  volume={97 12},
We present a model and algorithm for segmentation of images with missing boundaries. In many situations, the human visual system fills in missing gaps in edges and boundaries, building and completing information that is not present. This presents a considerable challenge in computer vision, since most algorithms attempt to exploit existing data. Completion models, which postulate how to construct missing data, are popular but are often trained and specific to particular images. In this paper… CONTINUE READING
Highly Cited
This paper has 121 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
65 Citations
4 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 65 extracted citations

122 Citations

Citations per Year
Semantic Scholar estimates that this publication has 122 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-4 of 4 references

Algebraic Geometry and Its Applications, ed

  • D. Mumford
  • 1994
Highly Influential
3 Excerpts

Geometric Methods in Bio-Medical Image Processing, ed

  • A. Sarti, R. Malladi
  • 2000

Vision (Freeman, San Francisco)

  • D. Marr
  • 1982
2 Excerpts

Similar Papers

Loading similar papers…