文章基本信息

标题：A Robust Illumination Normalization Method Based on Mean Estimation for Face Recognition
本地全文：下载
作者：Yong Luo ; Ye-Peng Guan ; Chang-Qi Zhang 等
期刊名称：ISRN Machine Vision
印刷版ISSN：2090-7796
电子版ISSN：2090-780X
出版年度：2013
卷号：2013
DOI：10.1155/2013/516052
出版社：Hindawi Publishing Corporation
摘要：An illumination normalization method for face recognition has been developed since it was difficult to control lighting conditions efficiently in the practical applications. Considering that the irradiation light is of little variation in a certain area, a mean estimation method is used to simulate the illumination component of a face image. Illumination component is removed by subtracting the mean estimation from the original image. In order to highlight face texture features and suppress the impact of adjacent domains, a ratio of the quotient image and its modulus mean value is obtained. The exponent result of the ratio is closely approximate to a relative reflection component. Since the gray value of facial organs is less than that of the facial skin, postprocessing is applied to the images in order to highlight facial texture for face recognition. Experiments show that the performance by using the proposed method is superior to that of state of the arts.