@article{(Open Science Index):https://publications.waset.org/pdf/10005826,
	  title     = {A Survey on Facial Feature Points Detection Techniques and Approaches},
	  author    = {Rachid Ahdid and  Khaddouj Taifi and  Said Safi and  Bouzid Manaut},
	  country	= {},
	  institution	= {},
	  abstract     = {Automatic detection of facial feature points plays
an important role in applications such as facial feature tracking,
human-machine interaction and face recognition. The majority of
facial feature points detection methods using two-dimensional or
three-dimensional data are covered in existing survey papers. In
this article chosen approaches to the facial features detection have
been gathered and described. This overview focuses on the class
of researches exploiting facial feature points detection to represent
facial surface for two-dimensional or three-dimensional face. In
the conclusion, we discusses advantages and disadvantages of the
presented algorithms.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {8},
	  year      = {2016},
	  pages     = {1566 - 1573},
	  ee        = {https://publications.waset.org/pdf/10005826},
	  url   	= {https://publications.waset.org/vol/116},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 116, 2016},
	}