A Learned Saliency Map for Eye Detection

摘要：

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 m the eye detection problem.

关键词： eye detection visual attention saliency map artificial neutral network

作者: Li Xingshan Yuan Chunwei

作者单位: Department of Biomedical Engineering Southeast University Nanjing, Jiangsu Pro vince,210096

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1388-1392

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）