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This is Visual Studio C++ code written by Jacob Barhak as part of the Ph.D. thesis that is also provided. The code implements several types of self organizing Neural Networks for the purpose of reconstructing meshes from point clouds. Some point cloud samples are provided in the samples directory.

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Geometric Reconstruction Using Self Organizing Neural Networks (NN)

This is Visual Studio C++ code written by Jacob Barhak as part of the Ph.D. thesis that is also provided.

The code implements several types of self organizing Neural Networks for the purpose of reconstructing meshes from point clouds.

Some point cloud samples are provided in the samples directory.

The following publications use this code:

  • F. L. Krause, A. Fischer, N. Gross, J. Barhak, "Reconstruction of Freeform Objects with Arbitrary Topology Using Neural Networks and Subdivision Techniques", CIRP Annals, STC Dn, 52/1/2003, p.125, 2003, Online.

  • J. Barhak, "Reconstruction of Freeform Objects with Arbitrary Topology from Multi Range Images", Ph.D. Thesis, Mechanical Engineering faculty, Technion, Haifa, Israel, 2003. Seminar on the subject presented on October 24th 2002, Online.

For further information regarding the software use, please contact:

Jacob Barhak Ph.D.

Email: [email protected]

License

Copyright (C) 2012 Technion, all rights reserved THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

The NN code and scanning samples are for demo purposes only. Individuals or academic institutes are free to use the NN code using this version as long as they acknowledge its use. Commercial licensing is managed by the Technion Industry Liaison Office.

This license file must appear in all copies made of the software and its derivatives.

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This is Visual Studio C++ code written by Jacob Barhak as part of the Ph.D. thesis that is also provided. The code implements several types of self organizing Neural Networks for the purpose of reconstructing meshes from point clouds. Some point cloud samples are provided in the samples directory.

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