摘要
针对非均匀光照干扰维吾尔族人脸识别效果的问题,通过对传统稀疏表示方法及对维吾尔族人脸图像中存在的复杂光照问题的研究,提出了基于稀疏表示与偏微分方程组合来改善Retinex算法的维吾尔族人脸辨析方法。该方法首先由偏微分方程的方法改善Retinex,可以有效地减少光晕现象在反射系数图中,进而取得原子库在光照不变的情况,然后利用稀疏表示达到维吾尔族人脸在非均匀光照下的识别。通过实验表明,该方法有效提高了稀疏表示方法在处理复杂光照维吾尔族人脸图像时的识别效果,达到了鲁棒性强、识别率高的目标。
Aiming at the problems of Uyghur face recognition effect of non- uniform illumination jamming, through the research of sparse representation of traditional methods and Uyghur face complex lighting problems, this paper proposed the method of Uyghur face analysis based on sparse representation combined with partial differential equations to improve Retinex algorithm. The methods improve the Retinex method by partial differential equations, can effectively reduce the Halo phenomenon in reflection coefficient di-agram, and get the atoms to light does not change. Then sparse representations is used to realize Uyghur people face recognition in non- uniform lighting. Experiments show that this method an effectively improve the sparse representation method in dealing with complex lighting Uyghur face image recognition, and achieve robustness and high goals.
出处
《电子技术应用》
北大核心
2016年第2期17-20,24,共5页
Application of Electronic Technique
基金
国家自然科学基金(61462082)
关键词
非均匀光照
维吾尔族人脸
稀疏表示
偏微分方程
non-uniform illumination
Uyghur face
sparse representation
partial differential equation
