[1] Sarkara, R., Bakshi, S. & Sa, P.K. (2012). A real-time model for multiple human face tracking from low-resolution surveillance videos. Procedia Technology, vol. 6, pp. 1004-1010.
|
[2] Jones, M. J. & Viola, P. (2004). Robust real-time face detection. International Journal of Computer Vision, vol.57, no. 2, pp. 137-154.
|
|
[3] Zhang T., et al. (2018). Fast and robust occluded face detection in ATM surveillance. Pattern Recognition Letters, vol. 107, pp. 33-40.
|
|
[4] Tsai, Y. H., Lee,Y. C., Ding, J.J., Chang. R.Y. & Hsu, M.C. (2018). Robust in-plane and out-of-plane face detection algorithm using frontal face detector and symmetry extension. Image and Vision Computing, vol 78, pp. 26-41.
|
|
[5] Ghazali K.H.B., et al. (2012) . An innovative face detection based on YCgCr color space. Physics Procedia, vol. 25, pp. 2116-2124.
|
|
[6] Sun, X. , Wu, P. & Hoi, S.C.H. (2017). Face detection using deep learning: An improved faster RCNN approach. Neurocomputing, vol. 299, pp. 42-50.
|
|
[7] Zeng, D., Zhao, F., Ge, S. & Shen, W. (2019). Fast cascade face detection with pyramid network. Pattern Recognition Letters, vol 119, pp. 180-186.
|
|
[8] Chen, J. et al. (2004). Novel face detection method based on Gabor features. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (Eds), Advances in Biometric Person Authentication. Springer, Berlin, pp. 90-99.
|
|
[9] Huang, L. L., Shimizu, A. & Kobatake, H. (2005). Robust face detection using Gabor filter features. Pattern Recognition Letters, vol. 26, no. 11, pp. 1641-1649.
|
|
[10] Kwolek, B. (2005). Face detection using convolutional neural networks and Gabor filters. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (Eds), Artificial Neural Networks: Biological Inspirations. Springer, Berlin, pp. 551-556.
|
|
[11] Sahoolizadeh, H., et al. (2008). Face detection using Gabor wavelets and neural networks. International Journal of Electrical and Computer Engineering, vol. 2, pp. 1862-1864.
|
|
[12] Xiaohua, L., et al. (2009). Face detection using simplified Gabor features and hierarchical regions in a cascade of classifiers. Pattern Recognition Letters, vol. 30 no. 8 , pp. 717-728.
|
|
[13] FERET image database (2003), Available: http://www.nist.gov/itl/iad/ig/colorferet.cfm.
|
|
[14] Markus Weber image database (1999), Available: http://www.vision.caltech.edu/Image_Datasets/faces/faces.tar.
|
|
[15] OpenCv's Viola-Jones algorithm, Available:https://docs.opencv.org/3.4.1/d7/d8b/tutorial_py_face_detection.html.
|
|
[16] Oh, J., Choi, S. , Kim, C. , Cho, J. & Choi, C. (2013). Selective generation of Gabor features for fast face recognition on mobile devices. Pattern Recognition Letters, vol. 34, no. 13, pp.1540-1547.
|
|
[17] Xu Y., et al. (2016). Image intelligent detection based on the gabor wavelet and the neural network. Symmetry, vol. 8, pp. 243-253.
[18] Theodoridis, S. & Chellappa, R. (2014). Academic press library in signal processing image and video compression and multimedia. Academic Press,
[19] Jones, J. P. & Palmer, L.A. (1987). An evaluation of the two-dimensional Gabor filter model of simple receptive rields in cat striate cortex. Journal of Neurophysiology, vol. 58 no. 6, pp. 1233-1258.
[20] Kaushal, A. & Raina, J. P. (2010). Face detection using neural network & Gabor wavelet transform. International Journal of Computer Science and Technology, vol. 1, pp. 58-63.
[21] Grigorescu, S. E., Petkov, N. & Kruizinga, P. (2002). Comparison of texture features based on Gabor filters. IEEE Transactions on Image Processing, vol. 11 no. 10, pp. 1160-1167.
[22] Roger, J. & Easton, L.(2010). Fourier methods in imaging. Rochester, John Wiley and Sons.
[23] Amayeh, G., Tavakkoli, A. & Bebis, G. (2009). Accurate and efficient computation of Gabor features in real-time applications, in: Bebis, G. (Eds.) Advances in Visual Computing, Springer Heidelberg, Berlin, pp. 243-252.
[24] Gu, W. , et al. (2012). Facial expression recognition using radial encoding of local Gaborfeatures and classifier synthesis. Pattern Recognition , vol. 45, no. 1, pp. 80-91.
[25] Boulgouris, N. V., Plataniotis, K.N. & Tzanakou E.M. (2009). Biometric: theory method and applications. John Wiley & Sons.
[26] Serrano, A., de Diego, I.M., Conde, C. & Cabello, E. (2011). Analysis of variance of Gabor filter banks parameters for optimal face recognition. Pattern Recognition Letters, vol. 32, no. 15, pp. 1998-2008.
[27] Mavaddati, S. (2019). A novel face detection method based on over-complete incoherent dictionary learning. Journal of AI and Data Mining, vol. 7, no.2, pp.263-278.
[28] Meshgini S. et al. (2013). Face recognition using Gabor-based direct linear discriminant analysis and support vector machine. Computers and Electrical Engineering, vol. 39, no. 3, pp. 727-745.
|
| |
|
|
|
|
|
|
)