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View Synthesis with Hierarchical Clustering based Occlusion Filling

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% Permission to use, copy, modify, and distribute this software and its
% documentation for any purpose other than its incorporation into a
% commercial product is hereby granted without fee, provided that the
% above copyright notice appear in all copies and that both that
% copyright notice and this permission notice appear in supporting
% documentation, and that the name of the author and Brown University not be used in
% advertising or publicity pertaining to distribution of the software
% without specific, written prior permission.
%
% THE AUTHOR AND UNIVERSITY OF CALIFORNIA SAN DIEGO DISCLAIM ALL WARRANTIES WITH 
% REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
% FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT SHALL THE AUTHOR OR UNIVERSITY
% OF CALIFORNIA SAN DIEGO BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL
% DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
% WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING
% OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

All code is provided for research purposes only and without any warranty.
Any commercial use requires our consent. When using the code in your research work,
please cite the following paper:

@inproceedings{dai2017view,
  title={View synthesis with hierarchical clustering based occlusion filling},
  author={Dai, Ji and Nguyen, Truong},
  booktitle={Image Processing (ICIP), 2017 IEEE International Conference on},
  pages={1387--1391},
  year={2017},
  organization={IEEE}
}

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