搜索结果: 1-15 共查到“工学 Face Recognition”相关记录71条 . 查询时间(0.081 秒)
The human brain seems to care a lot about faces. It’s dedicated a specific area to identifying them, and the neurons there are so good at their job that most of us can readily recognize thousands of i...
Face recognition plays an important role in biometrics base personal identification. The need for reliable recognition and identification
of interacting users is obvious. The biometrics recognition ...
Weighted Scatter-Difference-Based Two DimensionalDiscriminant Analysis for Face Recognition
Feature Extraction Face Recognition LDA PCA 2DPCA 2DLDA WSD2DDA
2013/1/28
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension. It has been used widely in many applications involving high-dimensional data, such as face recognition, ...
Face Recognition Based on Non-Corresponding Region Matching
Recognition Non-Corresponding Region Matching
2013/7/24
In previous works of face recognition, similarity betweenfaces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths withmouths etc.. In this paper, w...
Sparsely Encoded Local Descriptor for Face Recognition
Random-projection tree Sparse coding face verification face identification
2013/7/24
In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introdu...
Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2013/7/24
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...
Adaptive Discriminant Analysis for face recognition from Single Sample per Person
Adaptive Discriminant Single Sample
2013/7/24
Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition from Single Sample per...
Attention Driven Face Recognition: A Combination of Spatial Variant Fixations and Glance
Face Recognition Human Visual System
2013/7/24
This paper proposes a novel face recognitionalgorithm inspired by the selective attention of Human VisualSystem (HVS). We record four observers’ eye movements whenthey are viewing 100 FRGC [1] frontal...
Co-occurrence matrix and its statistical features as a new approach for face recognition
Face recognition gray-level co-occurrence matrix Haralick features
2011/3/22
In this paper, a new face recognition technique is introduced based on the gray-level co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the information about relati...
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Adaptive Generic Face Recognition Single Sample per Person
2010/12/21
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the
database. In this case, m...
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Fusing Local Patterns Gabor Magnitude Phase Face Recognition
2010/12/21
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude
feature. To investi...
Comparison of wavelet, Gabor and curvelet transform for face recognition
wavelet transform Gabor wavelet curvelet transform face recognition multiscale analysis
2011/5/5
There has been much research about using Gabor wavelet for face recognition. Other multiscale
geometrical tools, such as curvelet and contourlet, have also been used for face recognition, thus
it is...
Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences
Maximizing Intra-individual Correlations Face Recognition
2010/12/20
The variations of pose lead to significant performance decline in face recognition systems, which is a bottleneck in face recognition. A key problem is how to measure the
similarity between two image...
Coupled Metric Learning for Face Recognition with Degraded Images
Coupled Metric Learning Face Recognition Degraded Images
2013/7/16
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited performance, due to the...
Fisher’s linear discriminant (FLD) and support vector machine (SVM) in non-negative matrix factorization (NMF) residual space for face recognition
face recognition Fisher linear discriminant non-negative matrix factorization residual image
2011/5/9
A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for
the representation of face images for face recognition, which is robust to the slight local
feature chan...