Illumination Compensation for Face Recognition Using Only One Image  

作　　者：LIN Lan ZHAO Ge TANG Yan-Dong TIAN Jian-Dong HE Si-Yuan 

机构地区：[1]State Key Laboratory of Robotics, Shenyang Institute of Au-tomation, Chinese Academy of Sciences, Shenyang 110016, China [2]University of Chinese Academy of Sciences, Beijing 100049,China [3]School of Automation, Shenyang Institute of Engineer-ing, Shenyang 110136, China

出　　处：《自动化学报》2013年第12期2090-2099,共10页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation of China （61102116）

摘　　要：在脸识别上减少照明的否定影响，我们基于图象建议一个新照明赔偿方法不变的计算。这不变(补偿角度的和， SCA ) 被加二处于合适补偿状态点亮角度计算。SCA 仅仅依靠单身的轻来源和罐头为一个灯光的系统被计算仅仅一次。基于一个人的颅骨的牛肉香肠水平飞机，我们建议人的颅骨结构的一个几何脸模型。根据我们的脸模型的意见，补偿角度为在一样的点亮系统拿的一幅脸图象从 SCA 被计算。与这个补偿角度，为一幅脸图象的照明赔偿被添加剂操作做。试验性的结果在耶鲁 B 脸数据库上验证我们的方法。与 Choi 的方法相比，我们的方法与大灯光的角度在图象上做明显的改进，并且是更柔韧的在水平、垂直的方向点亮变化。To reduce the negative impact of illumination on face recognition, we propose a new illumination compensation method based on image invariant calculation. This invariant （the sum of compensating angles, SCA） is calculated by summing two lighting angles in the proper-compensated state. The SeA only depends on single light source and can be computed only once for a lighting system. Based on the Frankfurt horizontal plane of a human skull, we propose a geometric face model of human skull structure. According to our face model, the compensating angle is calculated from the SCA for a face image taken in the same lighting system. With this compensating angle, the illumination compensation for a face image is done by an additive operation. The experimental results validate our method on the Yale B face database. Compared with Choi＇s methods, our method makes obvious improvement on images with large lighting angle, and is more robust to light change in both horizontal and vertical directions.

关 键 词：光照补偿 基于图像 人脸识别 照明系统 人类头骨 面部图像 补偿角 补偿方法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP278[自动化与计算机技术—计算机科学与技术]