Comparison of fingerprint and face recognition algorithms for online authentication by Long, Shi Jun

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Human face recognition using line edge information by Gao, Yong Sheng.

“…The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. …”
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Design of machine learning based face recognition system by Yeo, Alvin Jin Kuang

“…Face recognition is a robust and reliable system which maps out the contour of the person’s face digitally into the computer storing it into the data as a faceprint. …”
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Home security system based on face recognition techniques by Yuan, Wanheng

“…Face recognition belongs to the category of computer vision. …”
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Regression and classification approaches to eye localization in face images by Everingham, M, Zisserman, A

“…We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localization on face recognition accuracy. …”

Person spotting: video shot retrieval for face sets by Sivic, J, Everingham, M, Zisserman, A

“…<p>Matching people based on their imaged face is hard because of the well known problems of illumination, pose, size and expression variation. …”

One-class knowledge distillation for face presentation attack detection by Li, Zhi, Cai, Rizhao, Li, Haoliang, Lam, Kwok-Yan, Hu, Yongjian, Kot, Alex Chichung

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3D human face portraits generation with mobile devices by Dong, Jijun

“…This report presents the overview and implementation of techniques for generating 3D human face portraits using mobile devices. The primary focus is on two models: the Hierarchical Representation Network (HRN) and the Tensorial Radiance Fields (TensoRF). …”
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NeRF-inspired 3D face portraits generation by Min Min

“…3D face reconstruction has always been a hot topic in the field of computer vision. …”
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Allianz's success factors in the European market and their challenges faced in China. by Chin, Chee Meng., Koh, Teck Chee., Li, Heng., Saqlain Javed.

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2D + 3D approach in face verification algorithm by Hendinata, Joshua

“…Typical face recognition system usually use only 2D face image captured from a single camera. …”
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The contribution of color information to rapid face categorization in natural scenes by Or, Charles C.-F., Retter, Talia L., Rossion, Bruno

Subjects: “…Face Categorization…”
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Face validity of the arabic alphabets writing assessment instrument for children. by Too @ Ismail, Nur Aini Sunar, Abdul Ghani, Diyana Zulaika, Ibrahim, Halijah

“…Therefore, this study aimed to test the face validity of a newly developed questionnaire for Arabic writing assessment. …”
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The many faces of natural theology: diverse projects, distinct roles, and the pursuit of clarity by Baker-Hytch, MRO, Mallary, M

Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

“…Our approach was applied to a case study, where 80 students collaborated in 20 teams for a week on a team task in a face-to-face setting. This enabled us to formulate several hypotheses identifying factors influencing individual well-being in teamwork. …”
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Multi-manifold metric learning for face recognition based on image sets by Huang, Likun, Lu, Jiwen, Tan, Yap Peng

“…In this paper, we propose a new multi-manifold metric learning (MMML) method for the task of face recognition based on image sets. Different from most existing metric learning algorithms that learn the distance metric for measuring single images, our method aims to learn distance metrics to measure the similarity between manifold pairs. …”
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Are there advantages to believing in fate? the belief in negotiating with fate when faced with constraints by Au, Evelyn W. M., Savani, Krishna

“…Instead, when individuals face constraining circumstances in which potential courses of actions are clearly limited, they are more likely to believe that they are able to negotiate with fate, and this belief can help them move forward from negative outcomes. …”
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Principled asymmetric boosting approaches to rapid training and classification in face detection by Pham, Minh Tri

“…Asymmetric boosting, while acknowledged to be important to imbalanced classification problems like face detection, is often based on the trial-and-error methodology to obtain the best boosted classifier, rather than on principled methods. …”
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Towards superior control in automatic face editing with generative adversarial networks by Zhang, Xijue

“…This project demonstrates that the face parsing model outputs masks that rivals manually labelled face datasets. …”
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Face/object recognition and tracking on IoT device with 3D camera by Lin, Yuxin

“…Traditional face recognition systems often use RGB images as input for feature extraction and classification. …”
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