Abstract
Facial feature detection plays an important role in biological recognition applications, such as criminal investigation, special surveillance, photographic mode, etc. In this paper, we propose an approach to achieve the mouth feature extraction and detection. This approach involves the steps of skin-color segmentation, face feature extraction, edge detection and edge projection. In order to more effectively and correctly locate the mouth position, we adopt two phases to perform our purposes, one phase is to label face mask by using our designed skin-color filter, the other phase is to detect the edge and to compute edge projection for the decided mouth region within the face mask. The present results demonstrate that our proposed system can achieve a high accuracy for month detection and can obtain coarsely the face posture estimation based on specified rule.
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References
Xu, Y., Chen, X.: A new algorithm of face detection based on differential images and PCA in color image. In: Proc. of the 2nd Int. Conf. Computer Science and Information, pp. 172–176 (2009)
Hu, T., Liu, R., Zhang, M.J.: Face recognition under complex conditions. In: Proc. of IEEE Int. Conf. on Electronics, Comm. and Control Engineering, pp. 960–963 (2010)
Wang, L., Ye, H., Xia, L.: Mouth detection based on interest point. In: Proc. of IEEE Conf. of Control, pp. 610–613 (2007)
Li, L., Chen, Y., Xin, L.: Driver fatigue detection based on mouth information. In: Proc. of the 8th Int. World Congress on Intelligent Control and Automation, pp. 6058–6062 (2010)
Nhan, H.N.D., Bao, P.T.: A new approach to mouth detection using neural network. In: Proc. of IEEE Int. Conf. Control, Automation and System Engineering, pp. 616–619 (2009)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proc. of the IEEE Computer Vision and Pattern Recognition, vol. 1, pp. 511–518 (2001)
Chai, D., Ngan, K.N.: Face segmentation using skin-color map in videophone applications. IEEE Trans. Circuits and System for Video Technology 9, 551–564 (1999)
Wu, M.W.: Automatic facial expressions analysis system, Master Thesis, National Cheng King University (2003)
Soriano, M., Martinkauppi, B., Huovinen, S., Laaksonen, M.: Using the skin locus to cope whit changing illumination conditions in color-based face tracking. In: Proc. IEEE Nordic Signal Proc. Symp., Kolmarden, Sweden, pp. 383–386 (2000)
Huang, T.S.: A smart digital surveillance system with face tracking and recognition capability. Master Thesis, Chung Yuan Christian University (2004)
Chen, C.T.: Multiple face recognition based on skin-color regional segmentation and principal component analysis. Master Thesis, National Taiwan Ocean University (2006)
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Huang, HY., Lin, YC. (2013). Mouth Location Based on Face Mask and Projection. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_61
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DOI: https://doi.org/10.1007/978-3-642-38577-3_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38576-6
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