Robust needle recognition using Artificial Neural Network (ANN) and Random Sample Consensus (RANSAC)

Jaewon Chang. Robust needle recognition using Artificial Neural Network (ANN) and Random Sample Consensus (RANSAC). In 2012 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2012, Washington, DC, USA, October 9-11, 2012. pages 1-3, IEEE Computer Society, 2012. [doi]

@inproceedings{Chang12-39,
  title = {Robust needle recognition using Artificial Neural Network (ANN) and Random Sample Consensus (RANSAC)},
  author = {Jaewon Chang},
  year = {2012},
  doi = {10.1109/AIPR.2012.6528219},
  url = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2012.6528219},
  researchr = {https://researchr.org/publication/Chang12-39},
  cites = {0},
  citedby = {0},
  pages = {1-3},
  booktitle = {2012 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2012, Washington, DC, USA, October 9-11, 2012},
  publisher = {IEEE Computer Society},
  isbn = {978-1-4673-4558-3},
}