@article{(Open Science Index):https://publications.waset.org/pdf/1712,
	  title     = {Scale-Space Volume Descriptors for Automatic 3D Facial Feature Extraction},
	  author    = {Daniel Chen and  George Mamic and  Clinton Fookes and  Sridha Sridharan},
	  country	= {},
	  institution	= {},
	  abstract     = {An automatic method for the extraction of feature points for face based applications is proposed. The system is based upon volumetric feature descriptors, which in this paper has been extended to incorporate scale space. The method is robust to noise and has the ability to extract local and holistic features simultaneously from faces stored in a database. Extracted features are stable over a range of faces, with results indicating that in terms of intra-ID variability, the technique has the ability to outperform manual landmarking.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {11},
	  year      = {2009},
	  pages     = {2684 - 2689},
	  ee        = {https://publications.waset.org/pdf/1712},
	  url   	= {https://publications.waset.org/vol/35},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 35, 2009},
	}