Face recognition: A literature survey
W Zhao, R Chellappa, PJ Phillips… - ACM computing surveys …, 2003 - dl.acm.org
As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …
recognition has recently received significant attention, especially during the past several …
[HTML][HTML] Recent advances in visual and infrared face recognition—a review
Face recognition is a rapidly growing research area due to increasing demands for security
in commercial and law enforcement applications. This paper provides an up-to-date review …
in commercial and law enforcement applications. This paper provides an up-to-date review …
[HTML][HTML] COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis
Aim: COVID-19 is a disease caused by a new strain of coronavirus. Up to 18th October
2020, worldwide there have been 39.6 million confirmed cases resulting in more than 1.1 …
2020, worldwide there have been 39.6 million confirmed cases resulting in more than 1.1 …
Deep feature fusion for VHR remote sensing scene classification
The rapid development of remote sensing technology allows us to get images with high and
very high resolution (VHR). VHR imagery scene classification has become an important and …
very high resolution (VHR). VHR imagery scene classification has become an important and …
Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition
M Haghighat, M Abdel-Mottaleb… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …
can occur at different levels of a recognition system, ie, at the feature level, matching-score …
Enhanced local texture feature sets for face recognition under difficult lighting conditions
Making recognition more reliable under uncontrolled lighting conditions is one of the most
important challenges for practical face recognition systems. We tackle this by combining the …
important challenges for practical face recognition systems. We tackle this by combining the …
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction
L Chen, K Wang, M Li, M Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, K-meansclustering-based Kernel canonical correlation analysis algorithm is
proposed for multimodal emotion recognition in human–robot interaction (HRI). The …
proposed for multimodal emotion recognition in human–robot interaction (HRI). The …
Online palmprint identification
Biometrics-based personal identification is regarded as an effective method for automatically
recognizing, with a high confidence, a person's identity. This paper presents a new biometric …
recognizing, with a high confidence, a person's identity. This paper presents a new biometric …
[HTML][HTML] A new method of feature fusion and its application in image recognition
QS Sun, SG Zeng, Y Liu, PA Heng, DS Xia - Pattern Recognition, 2005 - Elsevier
A new method of feature extraction, based on feature fusion, is proposed in this paper
according to the idea of canonical correlation analysis (CCA). At first, the theory framework …
according to the idea of canonical correlation analysis (CCA). At first, the theory framework …
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
This paper examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert
space and develops a two-phase KFD framework, ie, kernel principal component analysis …
space and develops a two-phase KFD framework, ie, kernel principal component analysis …