摘要
采用图像欧氏距离将灰度值及其坐标关系相结合用于表征人脸,使之对于图像的短距离晃动比较鲁棒,同时将图像欧氏距离应用于模糊支持向量机中。采用ORL人脸库进行分类实验,并与已发表论文的实验结果进行比较,验证了该方法的有效性。
The paper presents an efficient facial image representation and recognition based on gray level and the relationships of pixels. It can represent the facial images completely and it also is robust to small perturbation of images. It can be embedded in most image classification techniques such as FSVM. The experimental results demonstrate the effectiveness of this approach.
出处
《江南大学学报（自然科学版）》
CAS
2009年第1期20-23,共4页
Joural of Jiangnan University (Natural Science Edition)
基金
国家自然科学基金项目(60572034)
教育部新世纪优秀人才计划项目(NCET-06-0487)
江苏省自然科学基金项目(BK2006081)
