A FACE IMAGE ILLUMINATION QUALITY EVALUATION METHOD BASED ON GAUSSIAN LOW-PASS FILTER

摘要：

　　In this paper,according to the definition of the face image illumination quality index (IQI) ,and from the method of illumination normalization,using a Gaussian low-pass filter (GLPF),which is based on single scale Retinex (SSR),to estimate the illumination of the probe face image and the reference image.The similarity score of the two estimated luminance images are calculated by normalized correlation,thus getting the illumination quality index of the probe face image.Finally,through analyzing the distribution of the IQI mean value and standard deviation,Gaussian low-pass filter and Logarithm Discrete Cosine Transformation (LogDCT) are compared,to verify the validity of the illumination quality index to measure the uneven degree of illumination.

关键词： Face recognition Illumination quality index Illumination normalization Retinex Gaussian low-pass filter

作者: Fangfang Qu Dong Ren Xiaobo Liu Zhenyu Jing Lin Yan

作者单位: College of Computer and Information Technology,China Three Gorges University,Yichang,Hubei 443002,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 218-222

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）