Subjective surfaces: a method for completing missing boundaries.

@article{Sarti2000SubjectiveSA,
  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},
  year={2000},
  volume={97 12},
  pages={6258-63}
}
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
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