THE FACIAL FEATURES EXTRACTION IN THE ENVIRONMENT OF NETWORK EDUCATION

摘要：

This paper discusses an algorithm for facial features extraction in the environment of the network education. There are two features proposed: the area of the face and the distance between two eyelids. The algorithm works by first doing face detection on input images using face skin model and extracting the height and the width of the face region. Then an eyes detector is used to detect the possible eye candidates by computing the Complex Degree of every tiny region in the face image. After that, it uses the neural network to evaluate the eye candidates and then locates the real eye region. Finally, the distance between two eyelids can be extracted from the eye region. The experimental results prove that this method can achieve good location performance and good effect of extraction.

关键词： facial features extraction face detection eyes location intelligence network education system

作者: Xiang Pan Wansen Wang Yin Wu

作者单位: Department of Information Engineering,Capital Normal University,Beijing 100048,China;Department of C Department of Information Engineering,Capital Normal University,Beijing 100048,China

会议类型: 国际会议

会议名称: 2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）