Illumination Normalization Methods for Face Recognition
نویسندگان
چکیده
This paper describes three methods (logAbout, homomorfic filter and wavelet) for illumination normalization and compares their contributions for posterior face recognition using Principal Component Analysis (PCA).
منابع مشابه
An Improved Illumination Normalization based on Anisotropic Smoothing for Face Recognition
Robust face recognition under various illumination environments is very difficult and needs to be accomplished for successful commercialization. In this paper, we propose an improved illumination normalization method for face recognition. Illumination normalization algorithm based on anisotropic smoothing is well known to be effective among illumination normalization methods but deteriorates th...
متن کاملA Robust Processing Chain for Face Recognition under Varying Illumination
In order to make face recognition more reliable under varying illumination, a robust processing chain is presented in this paper. Most of the illumination normalization methods treat all face images in the same way without considering the specific illumination condition of each probe image. For the nearly welllit face images, they may be misclassified after illumination normalization. But they ...
متن کاملبهبود محلی کیفیت تصاویر چهره با سایه شدید به منظور ارتقاء شناسایی
Varying illuminations, especially the side lighting effects in face images, is one of the major obstacles in face recognition systems. Various methods have been presented for face recognition under different lighting conditions witch require previous knowledge about Light source and shadow area. In this paper, a novel approach based on H-minima transform to image segmentation and illumination n...
متن کاملIllumination Invariance for Local Feature Face Recognition
Illumination invariance is one of the most difficult properties to achieve in a face recognition system. Illumination normalization is a way to solve this problem. Previous research has shown that local normalization methods are capable of reducing the error rates significantly even when there are extreme illumination changes [1]. In this paper we propose an improvement to the local feature fac...
متن کاملAn Illumination Invariant Texture Based Face Recognition
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illumination normalization preprocessing techniques are employed in this paper to enhance the face recognition rate. The methods such as Histogram Equal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007