Application of EARLYBREAK for Line Segment Hausdorff Distance for Face Recognition
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_050466.pdf
Reference19 articles.
1. C. Dang-Nguyen, T. Do-Hong, "Robust line hausdorff distance for face recognition, in 2019 International Symposium on Electrical and Electronics Engineering (ISEE), HoChiMinh, Vietnam, 2019. https://doi.org/10.1109/ISEE2.2019.8921218
2. J. Wang and Y. Tan, "Hausdorff distance with k-nearest neighbors, in Proceedings of the Third International Conference on Advances in Swarm Intelligence - Volume Part II, ser. ICSI12. Berlin, Germany, 2012. https://doi.org/10.1007/978-3-642-31020-1
3. Y. Hu, Z. Wang, "A similarity measure based on hausdorff distance for hu- man face recognition, in 18th International Conference on Pattern Recognition (ICPR'06), Hong Kong, China, 2006. https://doi.org/10.1109/ICPR.2006.174
4. S. Chen and B. C. Lovell, "Feature space hausdorff distance for face recognition, in Proceedings of the 2010 20th International Conference on Pattern Recogni- tion (ICPR'10), Istanbul, Turkey, 2010. https://doi.org/10.1109/ICPR.2010.362
5. J. Paumard, "Robust comparison of binary images," Pattern Recognition Letters, 18(10), 1057 1063, 1997. https://doi.org/10.1016/S0167-8655(97)80002-5
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