| 基于图像欧氏距离的人脸描述和识别方法 |
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| 引用本文： | 戴欢,吴小俊. 基于图像欧氏距离的人脸描述和识别方法[J]. 江南大学学报(自然科学版), 2009, 8(1) |
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| 作者姓名： | 戴欢 吴小俊 |
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| 作者单位： | 1. 江苏科技大学,电子信息学院,江苏,镇江,212003
2. 江南大学,信息工程学院,江苏,无锡,214122 |
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| 基金项目： | 国家自然科学基金，教育部新世纪优秀人才支持计划，江苏省自然科学基金 |
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| 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.
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| 关 键 词： | 欧氏距离 支持向量机 人脸识别 |
Face Representation and Recognition Based on Image Euclidean Distance |
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| DAI Huan WU Xiao-jun. Face Representation and Recognition Based on Image Euclidean Distance[J]. Journal of Southern Yangtze University:Natural Science Edition, 2009, 8(1) |
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| Authors: | DAI Huan WU Xiao-jun |
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| Affiliation: | 1.School of Electronics and Information;Jiangsu University of Science and Technology;Hangzhou 212003;China;2.School of Information Technology;Jiangnan University;Wuxi 214122;China |
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| Abstract: | 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. |
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| Keywords: | IMED SVM face recognition |
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