Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition
نویسندگان
چکیده
منابع مشابه
Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition
—This paper devises a new means of filter diversification, dubbed multi-fold filter convolution (í µí³-FFC), for face recognition. On the assumption that í µí³-FFC receives single-scale Gabor filters of varying orientations as input, these filters are self-cross convolved by í µí³-fold to instantiate an offspring set. The í µí³-FFC flexibility also permits the self-cross convolution amongst...
متن کاملLog-Gabor Weber Descriptor for Face Recognition
It is well recognized that image representation is the most fundamental task of the face recognition, effective and efficient image feature extraction not only has small intraclass variations and large interclass similarity but also robust to the impact of pose, illumination, expression and occlusion. This paper proposes a new local image descriptor for face recognition, named Log–Gabor Weber d...
متن کاملGabor Filter-based Face Recognition Technique
We propose a novel human face recognition approach in this paper, based on two-dimensional Gabor filtering and supervised classification. The feature extraction technique proposed in this article uses 2D Gabor filter banks and produces robust 3D face feature vectors. A supervised classifier, using minimum average distances, is developed for these vectors. The recognition process is completed by...
متن کاملFace Recognition in Videos using Gabor Filter
In the past decade, advances in computer vision have lead automated security applications to high altitude. Human face detection in video sequences is a challenging problem in computer vision. It has wide range of applications in human recognition, human computer interaction (HCI), behavior analysis, teleconferencing, video surveillance etc. Faces serve as an identifying element of human anatom...
متن کاملFace recognition approach using Gabor Wavelets, PCA and SVM
Face recognition is an important research field of pattern recognition. Up to now, it caused researchers great concern from these fields, such as pattern recognition and computer vision. In general, we can make sure that the performance of face recognition system is determined by how to extract feature vector exactly and to classify them into a class correctly. Therefore, it is necessary for us...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2019
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2017.2761829