Efficient Diffusion-based Illumination Normalization for Face Verification
نویسندگان
چکیده
In this paper, the problem of face verification across illumination is addressed. In order to cope with different lighting conditions, a preprocessing step is applied to the face image so as to make it independent on the illumination conditions. The illuminant invariant representation of the image is obtained by first applying an anisotropic diffusion process to the original image (Gross and Brajovic, 2003). Hence, it implies the numerical resolution of an elliptic partial differential equation on a large grid: the image. So, a comparison is performed on two methods to resolve such diffusion problems, namely the Gauss-Seidel relaxation and the Multigrid V-cycle. The preprocessing algorithm with its different resolution schemes is applied prior to the task of face verification. Experiments conducted on the challenging BANCA database showed a significant improvement in terms of face verification error rate, while staying computationally efficient.
منابع مشابه
Image Preprocessing for Illumination Invariant Face Verification
Performance of the face verification system depend on many conditions. One of the most problematic is varying illumination condition. In this paper 14 normalization algorithms based on histogram normalization, illumination properties and the human perception theory were compared using 3 verification methods. The results obtained from the experiments showed that the illumination preprocessing me...
متن کاملA Study on Illumination Normalization for 2D Face Verification
Illumination normalization is very important for 2D face verification. This study examines the state-of-art illumination normalization methods, and proposes two solutions, namely horizontal Gaussian derivative filters and local binary patterns. Experiments show that our methods significantly improve the generalization capability, while maintaining good discrimination capability of a face verifi...
متن کاملVideo Based Face Verification
This paper introduces a video based face verification system. Stereo vision and multiple-related template matching method are used to segment facial region from the background. Facial features are extracted for geometrical normalization and followed by illumination normalization. Faces are represented by normalized face images masking out some corner points. A Support Vector Machine classifier ...
متن کاملAn 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 کاملINface : A Toolbox for Illumination Invariant Face Recognition
Foreword The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byprod-uct of my research work. It includes implementations of the following photomet-ric normalization techniques: the single-scale-retinex algorithm, ...
متن کامل