IMPROVED RHT ALGORITHM FOR INTELLIGENT RECOGNITION OF KEY FEATURES OF FACE

摘要：

To improve the performance and precision of ordinary generalized Random Hough Transform (RHT) algorithm, especially in the application of key features recognizing of human face, three orientating degrees are introduced, which are X, Y, and rotate angle, to construct the factors coordination. The model can be used in the procedure of grey-scale and arbitrary objects detection, aim at 2-demcnsion objects recognition with 3 orientating degrees, a generalized RHT algorithm is constructed with high-flexibility. Experiments prove that this model is able to demonstrate ideal ability of recognition on key arbitrary features of human faces, three orientating degrees can be detected quickly and correctly, as such speed up whole face recognition.

关键词： Hough Transform Image Segmentation Face Recognition

作者: Q.P ZHANG L.L LAI

作者单位: School of Engineering and Mathematical Sciences, City University London, UK

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3869-3873

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）