Wavelet Features and Gaussian Process Classifiers for Face Recognition

摘要：

Recently.Gaussian Process has been extended to classification problem and some Gaussian Process classifiers had been proposed.Engaging the Gaussian Process classifiers.in this paper,we propose a new face recognition algorithm based on wavelet face features and binary Gaussian Process classifiers.This method employs a binary tree method to extend the ability of binary Gaassian Process classifiers for dealing with multi-class problem.In the experiments,we compare our face recognition algorithm with other traditionaI techniques including PCA and Associative memory ModeI on ORL and MIT-CBCL face database.The experimental results show that our face recognition algorithm is effective and competitive.

关键词： Gaussian Process Classifier face recognition wavelet

作者: Jie Lin Jianping Li Guiduo Duan Ji Ming

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 47-50

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）