A Hybrid Face Recognition Approach Using Local Appearance and Deep Models

Author:

Arı MertORCID,Ekenel Hazım KemalORCID

Publisher

Springer International Publishing

Reference27 articles.

1. Deng, J., Guo, J., Xue, N., Zafeiriou, S.: ArcFace: additive angular margin loss for deep face recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4690–4699 (2019)

2. Dong, X., Wong, K., Jin, Z., Dugelay, J.L.: A secure visual-thermal fused face recognition system based on non-linear hashing. In: 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP), pp. 1–6. IEEE (2019)

3. Ekenel, H.K., Stiefelhagen, R.: Local appearance based face recognition using discrete cosine transform. In: 2005 13th European Signal Processing Conference, pp. 1–5. IEEE (2005)

4. Ekenel, H.K., Stiefelhagen, R.: Analysis of local appearance-based face recognition: effects of feature selection and feature normalization. In: 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2006), pp. 34–34. IEEE (2006)

5. Ekenel, H.K., Stiefelhagen, R.: Face alignment by minimizing the closest classification distance. In: 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, pp. 1–6. IEEE (2009)

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