Author : Rajesh K M 1
Date of Publication :7th May 2016
Abstract: Detection and tracking of face and facial features are the fundamental steps for many applications like Biometrics, human computer interface, video surveillance and expression analysis This paper addresses the challenges in current techniques and presents an adaptive-profile accurate method for facial feature detection and real time tracking. Face and facial features are detected by improved Active shape model (ASM), This application is developed by using Intel’s Open source computer vision project, OpenCV, Microsoft’s .NET framework and DLIB.
Reference :
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[1] Ke Sun, Huiling Zhou and Kin Man Lam, “An Adaptive-Profile Active Shape Model for FacialFeature Detection,” 22nd International Conference on Pattern Recognition, pp. 2849 - 2854, 2014.
[2] R. T. Chin and C. R. Dyer, “Model-based recognition in robot vision,” ACM Computing Surveys (CSUR), vol. 18, no. 1, pp. 67–108, 1986.
[3] W. P. Choi, K. M. Lam, and W. C. Siu, “An adaptive active contour model for highly irregular boundaries,” Pattern Recognition, vol. 34, no. 2, pp. 323–331, 2001.
[4] T. F. Cootes, G. J. Edwards, C. J. Taylor et al., “Active appearance models,” TPAMI, vol. 23, no. 6, pp. 681– 685, 2001.
[5] T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, “Active shape models-their training and application,” Computer vision and image understanding, vol. 61, no. 1, pp. 38–59, 1995.
[6] K. W. Wan, K. M. Lam, and K. C. Ng, “An accurate active shape model for facial feature extraction,” Pattern recognition letters, vol. 26, no. 15, pp. 2409– 2423, 2005.
[7] S. Milborrow and F. Nicolls, “Locating facial features with an extended active shape model,” in ECCV. Springer, 2008, pp. 504–513.
[8] O. C， eliktutan, S. Ulukaya, and B. Sankur, “A comparative study of face landmarking techniques,” EURASIP Journal on Image and Video Processing, vol. 2013, no. 1, p. 13, 2013.
[9] P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. Proc. CVPR, pp. 511-518, 2001.
[10]K. Seshadri and M. Savvides, “Robust modified active shape model for automatic facial landmark annotation of frontal faces,” in BTAS. IEEE, 2009.
[11]M. M. Nordstrom, M. Larsen, J. Sierakowski, and M. B. Stegmann, “The imm face database-an annotated dataset of 240 face images,” DTU Informatics, Tech. Rep., 2004.
[12]V. Kazemi and J. Sullivan, “One Millisecond Face Alignment with an Ensemble of Regression Trees,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 1867 – 1874, 2014.