참고문헌
- S. Zafeiriou, C. Zhang & Z. Zhang. (2015). A survey on face detection in the wild: past, present and future. Computer Vision and Image Understanding, 138, 1-24. DOI : 10.1016/j.cviu.2015.03.015
-
Vinay Kumar, Arpit Agarwal & Kanika Mittal. (2011). Tutorial: introduction to emotion recognition for digital images, [Technical report]
, 1-47. - Oya Celiktutan, Sezer Ulukaya & Bulent Sankur, (2013). A comparative study of face landmarking techniques. EURASIP Journal on Image and Video Processing, 13. DOI : 10.1186/1687-5281-2013-13
- S. Y. Kwon et al. (2012). Comparative performaance evaluations of eye detection algorithm. Journal of Korea Multimedia Society, 15(6), 722-730. https://doi.org/10.9717/kmms.2012.15.6.722
- Dan Witzner Hansen & Qiang Ji. (2010). In the eye of the beholder: a survey of models for eyes and gaze. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(3), 478-500. DOI : 10.1109/TPAMI.2009.30
- Waqas, Haider, Hadia Bashir, Abida Sharif, Irfan Sharif & Abdul Wahab1Smola. (2014). A survey on face detection and recognition approaches. Research Journal of Recent Sciences, 3(4), 56-62.
- A. Al-Rahayfeh & M. Faezipour. (2013). Eye tracking and head movement detection: a state-of-art survey. IEEE Journal of Translational Engineering in Health and Medicine, 1. DOI: 10.1109/JTEHM.2013.2289879
- P. Viola & M. Jones. (2004). Robust real-time object detection. International Journal of Computer Vision 57(2), 137-154. DOI : 10.1023/B:VISI.0000013087.49260.fb
- Y. L. Cun, Y. Bengio, & G. Hinton. (2015. May). Deep learning. Nature, 521(7553), 436-444. DOI : 10.1038/nature14539
- J. Schmidhuber. (2015). Deep learning in neural networks: an overview. Neural Networks, 61, 85-117. DOI : 10.1016/j.neunet.2014.09.003
- R. Girshick, J. Donahue, T. Darrell & J. Malik. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 5.
- Girshick, Ross. (2015). Fast r-cnn. Proceedings of the IEEE International Conference on Computer Vision.(ICCV 2015).
- S. Ren, K. He, R. Girshick, & J. Sun. (2017). Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6), 1137-1149. DOI: 10.1109/TPAMI.2016.2577031
- A.J. Smola. & B. Scholkopf. (2004). A tutorial on support vector regression. Statistics and Computing 14(3), 199-222. https://doi.org/10.1023/B:STCO.0000035301.49549.88
- J. R. Uijlings, K. E. van de Sande, T. Gevers & A. W. Smeulders. (2013). Selective search for object recognition. International Journal of Computer Vision, 154-171.
- C. L. Zitnick & P. Dollar. (2014). Edge boxes: Locating object proposals from edges. in European Conference on Computer Vision (ECCV), 391-405.
- https://kr.mathworks.com/help/vision/examples
- Y. Zhang, K. Lee & H. Lee. (2016). Augmenting supervised neural networks with unsupervised objectives for large-scale image classification. International Conference on Machine Learning(ICML), 612-621.
- K. Kim, et al. (2017), Detail focused image classifier model for traditional images. Journal of the Korea Convergence Society, 8(12), 85-92. DOI: 10.15207/JKCS.2017.8.12.085