摘要
A study has been made on the solving method of optimal set of uncorrelated discriminant vectors in this pa-per. A new concise formula for solving the optimal set of uncorrelated discriminant vectors has been proposed. Thegeneralized discriminant KL transform is proposed based on the new formula, which is applied in the feature extrac-tion of facial images. The numerical experiments on facial database of ORL show the effectiveness of the proposedmethod.
A study has been made on the solving method of optimal set of uncorrelated discriminant vectors in this paper. A new concise formula for solving the optimal set of uncorrelated discriminant vectors has been proposed. The generalized discriminant KL transform is proposed based on the new formula, which is applied in the feature extraction of facial images. The numerical experiments on facial database of ORL show the effectiveness of the proposed method.
出处
《计算机科学》
CSCD
北大核心
2003年第1期87-89,共3页
Computer Science
基金
国家自然科学基金(编号:60072034)
中国科学院沈阳自动化研究所机器个学重点实验室基金(编号:RL200108)
江苏省高校自然科学研究计划项目(编号:01KJB52002)
