A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure

Ferdinand Hahmann, Gordon Böer, Eric Gabriel, Carsten Meyer, Hauke Schramm. A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure. In José Braz, Sebastiano Battiato, Francisco H. Imai, editors, VISAPP 2015 - Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 2, Berlin, Germany, 11-14 March, 2015. pages 281-288, SciTePress, 2015.

@inproceedings{HahmannBGMS15,
  title = {A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure},
  author = {Ferdinand Hahmann and Gordon Böer and Eric Gabriel and Carsten Meyer and Hauke Schramm},
  year = {2015},
  researchr = {https://researchr.org/publication/HahmannBGMS15},
  cites = {0},
  citedby = {0},
  pages = {281-288},
  booktitle = {VISAPP 2015 - Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 2, Berlin, Germany, 11-14 March, 2015},
  editor = {José Braz and Sebastiano Battiato and Francisco H. Imai},
  publisher = {SciTePress},
  isbn = {978-989-758-090-1},
}