Details

Analysis of Human Skin Modeling and Classification

Hitesh Kapil

Department Of Electronics and Communication Engineering , GGGI, Shahabad

Vikas Chawla

Assist. Professor, Department Of Electronics and Communication Engineering , GGGI, Shahabad Haryana , Shahabad

168-179

Vol: 6, Issue: 4, 2016

Receiving Date: 2016-09-25 Acceptance Date:

2016-11-02

Publication Date:

2016-12-03

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Abstract

Human face perception is an extensive research that mixed up in computer vision community. Human face localization and detection is frequently the action that is first applications such as for instance movie clip surveillance, individual computer screen, facerecognition and image database administration. Locating andmonitoring faces that are human being a prerequisite for face recognition and/or facial expressions analysis, though it is oftenthought that a face that is normalized is available. For detecting face there are various algorithms skin that is including based algorithms. Color is anfeature that is extremely important of faces. Using skin-color as afeature for monitoring a real face has advantages being a few.

Keywords: Human Skin Modeling; Color Spaces; Skin Color Classification; Feature Extraction

References

  1. Jones, Michael J., and James M. Rehg. 'Statistical color models with application to skin detection.' International Journal of Computer Vision 46, no. 1 (2002): 81-96.
  2. Singh, Sanjay Kr, D. S. Chauhan, MayankVatsa, and Richa Singh. 'A robust skin color based face detection algorithm.' Tamkang Journal of Science and Engineering 6, no. 4 (2003): 227-234.
  3. Vezhnevets, Vladimir, VassiliSazonov, and AllaAndreeva. 'A survey on pixel-based skin color detection techniques.' In Proc. Graphicon, vol. 3, pp. 85-92. 2003.
  4. Kovac, Jure, Peter Peer, and Franc Solina. Human skin color clustering for face detection. Vol. 2. IEEE, 2003.
  5. Phung, Son Lam, AbdesselamBouzerdoum, and Douglas Chai. 'Skin segmentation using color and edge information.' In Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on, vol. 1, pp. 525-528. IEEE, 2003
  6. Störring, Moritz. 'Computer vision and human skin colour.' PhD diss., Computer Vision & Media Technology Laboratory, Faculty of Engineering and Science, Aalborg University, 2004.
  7. Kivinen, Jyri. 'Development of Face Processing Methods for Content-based Image Retrieval.' Diplomityö. Viestintätekniikanlaboratorio, Teknillinenkorkeakoulu (2004).
  8. Sebe, Nicu, Ira Cohen, Thomas S. Huang, and Theo Gevers. 'Skin detection: A bayesian network approach.' In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, vol. 2, pp. 903-906. IEEE, 2004.
  9. Kakumanu, Praveen, SokratisMakrogiannis, and NikolaosBourbakis. 'A survey of skin-color modeling and detection methods.' Pattern recognition 40, no. 3 (2007): 1106-1122.
  10. Tabassum, MirzaRehenuma, AlimUlGias, Md Kamal, Hossain Muhammad Muctadir, Muhammad Ibrahim, Asif Khan Shakir, Asif Imran et al. 'Comparative study of statistical skin detection algorithms for sub-continental human images.' arXiv preprint arXiv:1008.4206 (2010).
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