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面向人脸识别的分块自适应光照处理算法
引用本文:朱利伟,蔡晓东,梁奔香,吴迪,华娜.面向人脸识别的分块自适应光照处理算法[J].电视技术,2015,39(5).
作者姓名:朱利伟  蔡晓东  梁奔香  吴迪  华娜
作者单位:桂林电子科技大学,桂林电子科技大学,桂林电子科技大学,桂林电子科技大学,桂林电子科技大学
摘    要:为改善复杂光照条件下的人脸识别率急剧下降问题,提出一种基于双标准图的分块自适应Gamma算法(DRHGIC)。首先根据人脸光照分布特点,将人脸进行分块,然后对不同的块采用基于双标准图的方法搜索最优Gamma值,最后对人脸图片进行自适应Gamma变换。实验证明,该算法能够有效的提高复杂光照条件下的人脸识别率。

关 键 词:光照  Gamma变换  分块  自适应
收稿时间:2014/7/29 0:00:00
修稿时间:2014/9/23 0:00:00

Adaptive Illumination Algorithms Based on Blocks for Face Image Recognition
ZHU Li-wei,CAI Xiao-dong,LIANG Ben-xiang,Wu Di and HUA Na.Adaptive Illumination Algorithms Based on Blocks for Face Image Recognition[J].Tv Engineering,2015,39(5).
Authors:ZHU Li-wei  CAI Xiao-dong  LIANG Ben-xiang  Wu Di and HUA Na
Affiliation:Guilin University of Electronic Technology,Guilin University of Electronic Technology,Guilin University of Electronic Technology,Guilin University of Electronic Technology,Guilin University of Electronic Technology
Abstract:In order to improve the rate of face recognition in complex illumination condition, it proposes an adaptive Gamma algorithm based on double standard pictures and blocks (DRHGIC). According to the illumination distribution of face, images are divided into different blocks. Then to every blocks, an optimal Gamma value based on double standard images is used to implement adaptive Gamma transform. Experiments show that this algorithm can effectively improve the rate of face recognition under complicated illumination conditions.
Keywords:Illumination  Gamma transform  blocks  adaptive
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