2022
DOI: 10.1109/access.2022.3170037
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Open-Source Face Recognition Frameworks: A Review of the Landscape

Abstract: From holistic low-dimension feature-based segmentation to deep polynomial neural networks, Face Recognition (FR) accuracy has increased dramatically since its early days. The advancement and maturity of open-source FR frameworks have contributed to this trend, influencing many open-source research publications available in the public domain. The availability of modern accelerated computing capabilities through Graphics Process Unit (GPU) technology has played a substantial role in advancing open-source FR capa… Show more

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Cited by 8 publications
(3 citation statements)
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“…Face verification is "a one-to-one mapping of a given face against a known identity (e.g., is this the person?)." [17]. 5.…”
Section: A Face Recognitionmentioning
confidence: 99%
“…Face verification is "a one-to-one mapping of a given face against a known identity (e.g., is this the person?)." [17]. 5.…”
Section: A Face Recognitionmentioning
confidence: 99%
“…Open source-based object recognition using teachable machines has been widely researched for various case studies including; image type recognition of plant seeds [4], face object recognition where the accuracy success rate can reach 99.8% by utilizing the teachable machine [5], Object pattern recognition for micro and nano particle types to classify based on their characteristics [6], Machine learning interfaces that are also open source-based can contribute to being implemented for children with special needs, especially the visually impaired, which can be specially designed so that they can communicate based on audio or images as input data that can increase representation to communicate with each other and learn together [7]. The benefits of this open source-based system will contribute to the trend model as the case study used, which will increase the publication of open source-based research available in the public domain, where the availability of more modern computing capabilities can improve the accuracy performance of the GPU (Graphics Process Unit) system which has played an important role, one of which is in the ability to recognize faces or image objects [8]. Not only that, in the concept of machine learning based on facial recognition, users can identify facial change behavior (facial expressions) through an OpenFace service developed based on open source implemented in Computer Vision.…”
Section: Introductionmentioning
confidence: 99%
“…In general, the face recognition process will go through the stages of face detection, face alignment, face representation, face identification and verification [8]. In the case study that will be examined and has been implemented, namely detecting the face of each student who is present either offline in class or online, This concept was implemented due to problems such as; Students who attend sometimes fill in attendance to friends who are not present in class and teachers do not often check student attendance in class, so they do not have valid information in the future to make assessments based on student attendance.…”
Section: Introductionmentioning
confidence: 99%