A Novel Face Detection Framework Based on Incremental Learning and Low Variance Directions
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-95408-6_25
Reference16 articles.
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2. Sriman, K.P.N., Raj Kumar, P., Naveen, A., Saravana Kumar, R.: Comparison of Paul Viola - Michael Jones algorithm and HOG algorithm for Face Detection. In: IOP Conference Series: Materials Science and Engineering, First International Conference on Circuits, Signals, Systems and Securities (ICCSSS 2020), vol. 1084. IOP Publishing (2021). https://doi.org/10.1088/1757-899X/1084/1/012014. 012014
3. Mohammed, M.G., Melhum, A.I.: Implementation of HOG feature extraction with tuned parameters for human face detection. Int. J. Mach. Learn. Comput. 10, 654–661 (2020)
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5. Islam, B., Mahmud, F., Hossain, A.: High performance facial expression recognition system using facial region segmentation, fusion of HOG & LBP features and multiclass SVM. In: 2018 10th International Conference on Electrical and Computer Engineering (ICECE), pp. 42–45. https://doi.org/10.1109/ICECE.2018.8636780
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