A Comparative Study for Fisheye Image Classification: SVM or DNN
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73689-7_41
Reference18 articles.
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3. Jung, H.G., Kim, D.S., Yoon, P.J., Kim, J.: Structure analysis based parking slot marking recognition for semi-automatic parking system. In: Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), pp. 384–393. Springer, Cham (2006)
4. Yang, J., Jiang, Y.-G., Hauptmann, A.G., Ngo, C.-W.: Evaluating bag-of-visual-words representations in scene classification. In: Proceedings of the International Workshop on Multimedia Information Retrieval, pp. 197–206 (2007)
5. Zhen, C., Georgiadis, A.: Parameterized synthetic image data set for fisheye lens. In: 2018 5th International Conference on Information Science and Control Engineering (ICISCE),. pp. 370–374. IEEE (2018)
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