Feature Selection for Face Recognition Using a Genetic Algorithm
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Face recognition has been one of the challenging problems of computer vision. In response to this problem, SIFT features [1] have been used in [2]. However, since SIFT features were addressed to object recognition; we need to select the features that best fits in the face recognition problem. So, in this paper, we are using a genetic algorithm to select the most important features for face recognition.
[1] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[2] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[3] Jaakko J. Väyrynen. Genetic algorithm for variable selection , 2006 .