face detection across non-uniform motion blur illumination and pose
R.Nithya,S. Priyadharshini,D.Mariammal
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 05 April,2016 Pages:904-910
Abstract
Existing methods for performing face recognition in the presence of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held cameras. In this paper, we propose a methodology for face recognition in the presence of space-varying motion blur comprising of arbitrarily-shaped kernels. We model the blurred face as a convex combination of geometrically transformed instances of the focused gallery face, and show that the set of all images obtained by non-uniformly blurring a given image forms a convex set.
Kewords
Local Binary Pattern, Principle Component Analysis,Discrete Wavelet Transform, Discrete Cosine Transform ,Euclidean Distance
Reference
1. B. Zitová and J. Flusser, “Image registration methods: A survey,” Image Vis. Comput., vol. 21, no. 11, pp. 977,1000, Oct. 2003. 2. X. Dai and S. Khorram, “The effects of image misregistration on the accuracy of remotely sensed change detection,” IEEE Trans. Geosci. Remote Sen., vol. 36, no. 5, pp. 1566,1577, Sep. 1998. 3. H. Gonçalves, J. A. Gonçalves, and L. Corte Real, “HAIRIS A method for automatic image registration through histogram based image segmentation,” IEEE Trans. Image Process., vol. 20, no. 3, pp. 776,789, Mar. 2011.
