DisFace: A Database of Human Facial Disorders by Paramjit Kaur, Kewal Krishan, Suresh K. Sharma

“…Several researches have also shown the correlation between neuropsychiatry disorders and human face and also that how face recognition abilities are correlated with these disorders. …”
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Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19 by Wei-Ling Lin, Chun-Hung Hsieh, Tung-Shou Chen, Jeanne Chen, Jian-Le Lee, Wei-Chung Chen

“…The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). …”
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Evidence of an Own-Age Bias in Facial Emotion Recognition for Adolescents With and Without Autism Spectrum Disorder by Kathryn M. Hauschild, Peter Felsman, Peter Felsman, Cara M. Keifer, Matthew D. Lerner, Matthew D. Lerner

“…This effect is especially evident in domains of face recognition memory but less commonly investigated in social-emotional expertise (e.g., facial emotion recognition; FER), where individuals with ASD have shown consistent deficits. …”
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Biometric-Based Security System for Smart Riding Clubs by Islem Jarraya, Fatma Ben Said, Tarek M. Hamdani, Bilel Neji, Taha Beyrouthy, Adel M. Alimi

“…This work suggests a Siamese network based on DenseNet features for human gait recognition, a Sparse Neural Network (SNN) based on sparse features for horse face detection and a horse face recognition method based on Gabor features, LDA and SVM. …”
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Mobile Clustering Scheme for Pedestrian Contact Tracing: The COVID-19 Case Study by Mario E. Rivero-Angeles, Víctor Barrera-Figueroa, José E. Malfavón-Talavera, Yunia V. García-Tejeda, Izlian Y. Orea-Flores, Omar Jiménez-Ramírez, José A. Bermúdez-Sosa

“…GPS tracking may not be available in many indoor cases; video surveillance may require expensive deployment (mainly due to the high-quality cameras and face recognition algorithms) and can be restrictive in case of low budget applications; RFID systems can be cumbersome and limited in the detection range. …”
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Lighting Search Algorithm With Convolutional Neural Network-Based Image Captioning System for Natural Language Processing by Rana Othman Alnashwan, Samia Allaoua Chelloug, Nabil Sharaf Almalki, Imene Issaoui, Abdelwahed Motwakel, Ahmed Sayed

“…Recently, deep learning models have become more prominent due to their tremendous performance for real-time tasks like face recognition, object detection, natural language processing (NLP), instance segmentation, image classification, gesture recognition, and video classification. …”
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Pengenalan Wajah Manusia berbasis Algoritma Local Binary Pattern by Ratih Purwati, Gunawan Ariyanto

“…Face Recognition merupakan teknologi komputer untuk mengidentifikasi wajah manusia melalui gambar digital yang tersimpan di database. …”
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Auditory cross-modal reorganization in cochlear implant users indicates audio-visual integration by Maren Stropahl, Stefan Debener

“…While reorganization during deafness may impede speech recovery, reorganization also has beneficial influences on face recognition and lip-reading. As CI users were observed to show differences in multisensory integration, the question arises if cross-modal reorganization is related to audio-visual integration skills. …”
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Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications by Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao

“…Moreover, we conduct many experiments on two real-world sparse representation applications such as image denoising and face recognition, and all the results also validate that our SRGSP algorithm obtains much better performance than other sparse representation learning optimization methods in terms of PSNR and recognition rates.…”
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Face Presentation Attack Detection Using Deep Background Subtraction by Azeddine Benlamoudi, Salah Eddine Bekhouche, Maarouf Korichi, Khaled Bensid, Abdeldjalil Ouahabi, Abdenour Hadid, Abdelmalik Taleb-Ahmed

“…Currently, face recognition technology is the most widely used method for verifying an individual’s identity. …”
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Geometry Structure Preserving Based GAN for Multi-Pose Face Frontalization and Recognition by Xiao Luan, Hongmin Geng, Linghui Liu, Weisheng Li, Yuanyuan Zhao, Min Ren

“…Benefited from significant improvement of generative adversarial networks (GAN), generative models can use face frontalization to overcome the problem of model degradation owing to the variation of head pose in face recognition. Existing GAN based models can generate a synthesis face image with the same identity as the input, while those models are hard to capture the geometry structure or facial patterns via pixel-wise constraint, e.g. face contour. …”
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MUTUAL IMAGE TRANSFORMATION ALGORITHMS FOR VISUAL INFORMATION PROCESSING AND RETRIEVAL by G. A. Kukharev, Y. N. Matveev, A. L. Oleinik

“…Thus, the proposed algorithms can be used to improve reliability of face recognition performed on images of various kinds. …”
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Fine-Grained Human Hair Segmentation Using a Text-to-Image Diffusion Model by Dohyun Kim, Euna Lee, Daehyun Yoo, Hongchul Lee

“…Human hair segmentation is essential for face recognition and for achieving natural transformation of style transfer. …”
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A Face Detection Algorithm Based on Two Information Flow Block and Retinal Receptive Field Block by Shaoqi Hou, Ye Li, Yixi Pan, Xiaoyu Yang, Guangqiang Yin

“…To boost up the efficiency of face recognition, in this paper, we propose a lightweight rapid framework, called LRNet, which has fewer convolutional layers and a higher efficiency. …”
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Neural Activity Associated with Symptoms Change in Depressed Adolescents following Self-Processing Neurofeedback by Natasha Ahrweiler, Carmen Santana-Gonzalez, Na Zhang, Grace Quandt, Nikki Ashtiani, Guanmin Liu, Maggie Engstrom, Erika Schultz, Ryan Liengswangwong, Jia Yuan Teoh, Katia Kozachok, Karina Quevedo

“…Depressed (<i>n</i> = 34) and healthy (<i>n</i> = 19) adolescents participated in (i) a brief neurofeedback task that involves simultaneously viewing their own happy face, recalling a positive autobiographical memory, and increasing amygdala-hippocampal activity; (ii) a self- vs. other- face recognition task with happy, neutral, and sad facial expressions before and after the neurofeedback. …”
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Multimodal Engagement Prediction in Multiperson Human&#x2013;Robot Interaction by Ahmed A. Abdelrahman, Dominykas Strazdas, Aly Khalifa, Jan Hintz, Thorsten Hempel, Ayoub Al-Hamadi

“…Then, a simple neural network is used to estimate the focus of attention score by incorporating gaze and head pose features and assigning this score to all subjects in the scene using a face recognition algorithm. Finally, a rule-based classification approach is used to predict the engagement state of the subject to initiate/terminate the interaction with the robot. …”
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Energy Efficient UAV-Enabled Mobile Edge Computing for IoT Devices: A Review by Muhammad Abrar, Ushna Ajmal, Ziyad M. Almohaimeed, Xiang Gui, Rizwan Akram, Roha Masroor

“…With the emergence of computation-intensive and delay-sensitive applications, such as face recognition, virtual reality, augmented reality, and Internet of Things (IoT) devices; Mobile Edge Computing (MEC) allows the IoT devices to offload their heavy computation tasks to nearby edge cloud network rather than to compute the tasks locally. …”
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Mandrill mothers associate with infants who look like their own offspring using phenotype matching by Marie JE Charpentier, Clémence Poirotte, Berta Roura-Torres, Paul Amblard-Rambert, Eric Willaume, Peter M Kappeler, François Rousset, Julien P Renoult

“…Using deep learning for face recognition in 80 wild mandrill infants, we first show that infants sired by the same father resemble each other the most, independently of their age, sex or maternal origin, extending previous results to the youngest age class. …”
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Presentation Attack Face Image Generation Based on a Deep Generative Adversarial Network by Dat Tien Nguyen, Tuyen Danh Pham, Ganbayar Batchuluun, Kyoung Jun Noh, Kang Ryoung Park

“…To overcome this problem, presentation attack detection (PAD) methods for face recognition systems (face-PAD), which aim to classify real and presentation attack face images before performing a recognition task, have been developed. …”
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SIFT Flow: Dense Correspondence across Scenes and its Applications by Liu, Ce, Yuen, Jenny, Torralba, Antonio

“…This framework is demonstrated through concrete applications such as motion field prediction from a single image, motion synthesis via object transfer, satellite image registration, and face recognition.…”
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