Face recognition using nonparametric-weighted Fisherfaces
نویسندگان
چکیده
منابع مشابه
Face recognition using nonparametric-weighted Fisherfaces
This study presents an appearance-based face recognition scheme called the nonparametric-weighted Fisherfaces (NW-Fisherfaces). Pixels in a facial image are considered as coordinates in a high-dimensional space and are transformed into a face subspace for analysis by using nonparametric-weighted feature extraction (NWFE). According to previous studies of hyperspectral image classification, NWFE...
متن کاملFace Recognition Using L-Fisherfaces
An appearance-based face recognition approach called the L-Fisherfaces is proposed in this paper, By using Local Fisher Discriminant Embedding (LFDE), the face images are mapped into a face subspace for analysis. Different from Linear Discriminant Analysis (LDA), which effectively sees only the Euclidean structure of face space, LFDE finds an embedding that preserves local information, and obta...
متن کاملEnhanced Fisherfaces for Robust Face Recognition
This research features a new method for automatic face recognition robust to variations in lighting, facial expression and eyewear. The new algorithm named SKKUfaces (Sungkyunkwan University faces) employs PCA (Principal Component Analysis) and FLD (Fisher’s Linear Discriminant) in series similarly to Fisherfaces. The fundamental difference is that SKKUfaces effectively eliminates, in the reduc...
متن کاملFace Authentication Using Client Specific Fisherfaces
In the paper we propose a one dimensional client specific fisher face representation for personal identity verification. This novel LDA approach contrasts with the conventional LDA representation which involves multiple shared fisher faces. The method provides two measures for authentication: a distance to the client template, and a distance to the mean of impostors. These two decision scores a...
متن کاملHuman Face Recognition Using a Spatially Weighted
The edge map of a facial image contains abundant information about its shape and structure, which is useful for face recognition. To compare edge images, Hausdroff distance is an efficient measure that can determine the degree of their resemblance, and does not require a knowledge of correspondence among those points in the two edge maps. In this paper, a new modified Hausdorff distance measure...
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: EURASIP Journal on Advances in Signal Processing
سال: 2012
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2012-92