Face liveness detection using Dynamic Local Ternary Pattern (DLTP) by Parveen, Sajida, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Hasan Abbas, Nidaa, Wan Adnan, Wan Azizun, Hanafi, Marsyita, Naeem, Nadeem

“…Face spoofing is considered to be one of the prominent threats to face recognition systems. However, in order to improve the security measures of such biometric systems against deliberate spoof attacks, liveness detection has received significant recent attention from researchers. …”
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LiWGAN: A light method to improve the performance of generative adversarial network by Mashudi, Nurul Amirah, Ahmad, Norulhusna, Mohd. Noor, Norliza

“…LiWGAN manipulates a non-image synthesis of facemasks that could be beneficial for some researchers to identify an individual using lower power devices, occlusion challenges for face recognition, and alleviate the accuracy challenges due to limited datasets. …”
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An optimized second order stochastic learning algorithm for neural network training by Liew, S. S., Khalil-Hani, M., Bakhteri, R.

“…It can classify all testing samples correctly on the face recognition case study based on AR Purdue database. …”

An optimized skin texture model using gray-level co-occurrence matrix by Maktabdar Oghaz, M., Maarof, M. A., Rohani, M. F., Zainal, A., Shaid, S. Z. M.

“…The findings of this study can be used in various disciplines, such as face recognition, skin disorder and lesion recognition, and nudity detection.…”

Spectral-based convolutional neural network without multiple spatial-frequency domain switchings by Ayat, Sayed Omid, Hani, Mohamed Khalil, Ab. Rahman, Ab. Al-Hadi, Abdellatef, Hamdan

“…Experimental results indicate that the proposed spectral-based CNN model achieves up to 17.02 × and 3.45 × faster classification speed (without considerable accuracy loss) on AT&T face recognition and MNIST digit/fashion classification datasets, respectively, as compared to the equivalent models in the spatial domain, hence outperforming conventional approaches significantly.…”

Multimedia storage and retrieval innovations for digital library systems / by Wei, Chia-Hung, 1973-, Li, Yue, 1980-, Gwo, Chih-Ying

A comparative modelling study of new robust packaging technology 1mm2 VCSEL packages and their mechanical stress properties by Khairul, Mohd Arshad, Muhamad, Mat Noor, Asrulnizam, Abd Manaf, Kawarada, Hiroshi, Falina, Shaili, Mohd, Syamsul

“…Face recognition is one of the most sophisticated disciplines of biometric systems. …”
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A comparative modelling study of new robust packaging technology 1 mm2 VCSEL packages and their mechanical stress properties by Khairul, Mohd Arshad, Muhamad, Mat Noor, Asrulnizam, Abd Manaf, Kawarada, Hiroshi, Shaili Falina, Mohd Sukri, Mohd Nasyriq, Syamsul

“…Face recognition is one of the most sophisticated disciplines of biometric systems. …”
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A Novel Approach to Face Pattern Analysis by Shashi Bhushan, Mohammed Alshehri, Neha Agarwal, Ismail Keshta, Jitendra Rajpurohit, Ahed Abugabah

“…Many researchers have used Principal Component Analysis (PCA), Support Vector Machine (SVM), a combination of PCA and SVM, PCA with an Artificial Neural Network, and even the traditional PCA-SVM to improve face recognition. PCA-SVM is better than PCA-ANN as PCA-ANN has the limitation of a small dataset. …”
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3D Facial Expression Recognition for Defining Users’ Inner Requirements—An Emotional Design Case Study by Maria Grazia Violante, Federica Marcolin, Enrico Vezzetti, Luca Ulrich, Gianluca Billia, Luca Di Grazia

“…The current advances in pattern recognition related to face recognition techniques have fostered the cross-fertilization and pollination between this context and other fields, such as product design and human-computer interaction. …”
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Multi-wavelength structured light based on metasurfaces for 3D imaging by Lyu Baiying, Chen Chen, Wang Jian, Li Chang, Zhang Wei, Feng Yuxiang, Dong Fei, Zhang BaoShun, Zeng Zhongming, Wang Yiqun, Wu Dongmin

“…The resolution is a crucial index that represents security and accuracy in applications such as face recognition and robot vision. It depends on the density of dots in the projection. …”
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Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor by Weipeng Cao, Zhong Ming, Zhiwu Xu, Jiyong Zhang, Qiang Wang

“…In addition, we have extended DOS-ELM to an online deep model named ML-DOS-ELM, which can handle more complex tasks such as the face recognition problem and the handwritten digit recognition problem. …”
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Tracking and Classification of In-Air Hand Gesture Based on Thermal Guided Joint Filter by Seongwan Kim, Yuseok Ban, Sangyoun Lee

“…Although many works have focused on learning the benefits of thermal information from thermal cameras, most have focused on face recognition or human body detection, rather than hand gesture recognition. …”
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A novel method for Pu-erh tea face traceability identification based on improved MobileNetV3 and triplet loss by Zhe Zhang, Xinting Yang, Na Luo, Feng Chen, Helong Yu, Chuanheng Sun

“…The robustness and generalization ability of the model, as evidenced by the experimental results, highlight its potential for improving the accuracy of Pu-erh tea face recognition and enhancing the credibility of Pu-erh tea in the market. …”
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Green Care Achievement Based on Aquaponics Combined with Human–Computer Interaction by Wei-Ling Lin, Shu-Ching Wang, Li-Syuan Chen, Tzu-Ling Lin, Jian-Le Lee

“…The proposed system uses face recognition technology to record the labor and rehabilitation history of the elderly, in combination with environmental data analysis, to enable automatic control decisions for equipment in conjunction with a voice control system to reduce the obstacles faced by the elderly in operating the information system. …”
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ACLMHA and FML: A brain-inspired kinship verification framework by Chen Li, Menghan Bai, Lipei Zhang, Ke Xiao, Wei Song, Hui Zeng

“…As an extended research direction of face recognition, kinship verification based on the face image is an interesting yet challenging task, which aims to determine whether two individuals are kin-related based on their facial images. …”
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Educational Facial Emotion Recognition in Children With Autism Spectrum Disorder: A Clinical Trial Study by Fateme Mohammadi, Fatemeh Cheraghi, Salman khazaei, Mahdieh Seyedi, Mohammad Rezaei, Fatemeh Mirzaie

“…This study was designed to evaluate the effect of education on the promotion of face recognition. Methods: This single-blind clinical trial study was conducted on children with autism. …”
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A Tutorial on Bandit Learning and Its Applications in 5G Mobile Edge Computing (Invited Paper) by Sige Liu, Peng Cheng, Peng Cheng, Zhuo Chen, Branka Vucetic, Yonghui Li

“…Due to the rapid development of 5G and Internet-of-Things (IoT), various emerging applications have been catalyzed, ranging from face recognition, virtual reality to autonomous driving, demanding ubiquitous computation services beyond the capacity of mobile users (MUs). …”
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Effects of face repetition on ventral visual stream connectivity using dynamic causal modelling of fMRI data by Sung-Mu Lee, Roni Tibon, Peter Zeidman, Pranay S. Yadav, Richard Henson

“…Face “perception” (faces versus scrambled faces) modulated nearly all connections, within and between regions, including direct connections from EVC to FFA, supporting a non-hierarchical view of face processing. Face “recognition” (familiar versus unfamiliar faces) modulated connections between EVC and OFA/FFA, particularly in the left hemisphere. …”
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Discriminative common vector in sufficient data Case: A fault detection and classification application on photovoltaic arrays by Yasemin Onal, Umit Cigdem Turhal

“…In this study, the derivation of the Discriminative Common Vector (DCV) approach which is first introduced for a face recognition task in the insufficient data case, for the sufficient data case is obtained and it is applied for a photovoltaic (PV) panel fault detection and classification. …”
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