A Learned Saliency Map for Eye Detection
نویسنده
چکیده
In this paper, a method of constructing saliency map based on learning method is proposed. The saliency map is constructed by nonlinear combination of features, and the nonlinear function is approached through a feed forward artificial neutral network (ANN) whose weight is trained by examples. The efficiency of the proposed method is verified in the eye detection problem. Experiments show that the learned saliency map may be efficiently used in the eye detection problem.
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