Abstract
This paper deals with the problem of insensitivity and low-effect in the detecting feature points in lip regions. We propose a new feature points extraction model based on Harris algorithm, combining ideas of color statistic and graph connectivity. To detect feature points, firstly, we build a proper possibility statistical module of color component, with a specifying color model in lip regions, then we realize feature points filter module under the thought of graph connectivity. Experiments show that our algorithm has a better accuracy and stability, especially a competitive advantage in lip regions feature extraction.
This research is supported by the Fundamental Research Funds for the Central Universities (lzujbky-2015-107).
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References
Cui J, Xie J, Liu T, Guo X, Chen Z (2014) Corners detection on finger vein images using the improved Harris algorithm. Optik 125:4668–4671
Cooper J, Sveth A, Kitechen L (1993) Early jump-out corner detectors [J]. IEEE Trans PAMI 15:823–828
Hsu RL, Jain AK (2002) Face detection in color images [J]. IEEE Trans. Pattern Anal Mach Intell, 696–706
Wu R, Huang J (2009) Method of text image binarization processing using histogram and spectral clustering [J]. J Electron Inf Technol 31(10):2461–2464
Ostu N (1979) A threshold selection method from gray-level histograms [J]. IEEE Trans Syst, Man Cybern 9(1):62–66
Harris C, Stephens MJ (1988) A combined corner and edge detector. In: Alvey vision conference, pp 147–152
Shi J, Tomasi C (1994) Good features to track. International conference on computer vision and pattern recognition, pp 593–600
Mikolajczyk K, Schmid C (2004) Scale and affine invariant interest point detectors. Int J Comput Vis 60(1):63–86
Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: European conference on computer vision, pp 430–443
Feng X, Wang W, Xuzhen W, Pan J (2009) Adaptive mouth region detection algorithm based on multi-color spaces. J Comput Appl 29(7):1001–9081
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Meng, Y., Du, H., Liu, X., Wang, K., Chen, C. (2017). A Dynamic Extraction of Feature Points in Lip Regions Based on Color Statistic. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_10
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DOI: https://doi.org/10.1007/978-3-319-38771-0_10
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