An Optimal Control Approach to Find Sparse Data for Laplace Interpolation

Laurent Hoeltgen, Simon Setzer, Joachim Weickert. An Optimal Control Approach to Find Sparse Data for Laplace Interpolation. In Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings. Volume 8081 of Lecture Notes in Computer Science, pages 151-164, Springer, 2013. [doi]

@inproceedings{HoeltgenSW13,
  title = {An Optimal Control Approach to Find Sparse Data for Laplace Interpolation},
  author = {Laurent Hoeltgen and Simon Setzer and Joachim Weickert},
  year = {2013},
  doi = {10.1007/978-3-642-40395-8_12},
  url = {http://dx.doi.org/10.1007/978-3-642-40395-8_12},
  researchr = {https://researchr.org/publication/HoeltgenSW13},
  cites = {0},
  citedby = {0},
  pages = {151-164},
  booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings},
  editor = {Anders Heyden and Fredrik Kahl and Carl Olsson and Magnus Oskarsson and Xue-Cheng Tai},
  volume = {8081},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-40394-1},
}