Face feature extraction: a complete review
H Wang, J Hu, W Deng - IEEE Access, 2017 - ieeexplore.ieee.org
Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …
extraction framework for robust face recognition. We collect about 300 papers regarding face …
Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition
Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …
affective computing applications. In practice, achieving accurate FER is challenging due to …
Local directional number pattern for face analysis: Face and expression recognition
This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional …
for face analysis, ie, face and expression recognition. LDN encodes the directional …
A novel local pattern descriptor—local vector pattern in high-order derivative space for face recognition
KC Fan, TY Hung - IEEE transactions on image processing, 2014 - ieeexplore.ieee.org
In this paper, a novel local pattern descriptor generated by the proposed local vector pattern
(LVP) in high-order derivative space is presented for use in face recognition. Based on the …
(LVP) in high-order derivative space is presented for use in face recognition. Based on the …
Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors
Face recognition subject to uncontrolled illumination and blur is challenging. Interestingly,
image degradation caused by blurring, often present in real-world imagery, has mostly been …
image degradation caused by blurring, often present in real-world imagery, has mostly been …
Intra-class variation reduction using training expression images for sparse representation based facial expression recognition
Automatic facial expression recognition (FER) is becoming increasingly important in the
area of affective computing systems because of its various emerging applications such as …
area of affective computing systems because of its various emerging applications such as …
Local directional texture pattern image descriptor
Deriving an effective image representation is a critical step for a successful automatic image
recognition application. In this paper, we propose a new feature descriptor named Local …
recognition application. In this paper, we propose a new feature descriptor named Local …
Local phase quantization for blur-insensitive image analysis
One of the principal causes for image quality degradation is blur. This frequent phenomenon
is usually a result of misfocused optics or camera motion, and it is very difficult to undo …
is usually a result of misfocused optics or camera motion, and it is very difficult to undo …
Tensor cross-view quadratic discriminant analysis for kinship verification in the wild
This paper presents a new Tensor Cross-view Quadratic Discriminant Analysis (TXQDA)
method based on the XQDA method for kinship verification in the wild. Many researchers …
method based on the XQDA method for kinship verification in the wild. Many researchers …
RETRACTED ARTICLE: Local Directional Maximum Edge Patterns for facial expression recognition
Cognitive science and neuroscience use human facial expressions of emotion. Every single
facial expression can be seen at different passions in a face space. Nowadays, facial …
facial expression can be seen at different passions in a face space. Nowadays, facial …