Research paper on face recognition
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Automatic Face Recognition Essay
Automatic Face Recognition Essay - Words | Bartleby
Face recognition, or facial recognition, is one of the largest areas of research within computer vision. We can now use face recognition to unlock our mobile phones, verify identification at security gates, and in some countries, make purchases. With the ability to make numerous processes more efficient, many companies invest into the research and development of facial recognition technology. This article will highlight some of that research and introduce five machine learning papers on face recognition. With a multitude of real-world applications, face recognition technology is becoming more and more prominent. From smartphone unlocking to face verification payment methods, facial recognition could improve security and surveillance in many ways. However, the technology also poses several risks.
Melissa Pecoraro, 19, Wauwatosa, Wisconsin. Great communication with the writer and site and paper was written very nicely.
face recognition research papers 2015 IEEE PAPER
We revisit both the alignment step and the representation step by employing explicit 3D face modeling in order to apply a piecewise affine transformation, and derive a face representation from a nine-layer deep neural network. This deep network involves more than million parameters using several locally connected layers without weight sharing, rather than the standard convolutional layers. Thus we trained it on the largest facial dataset to-date, an identity labeled dataset of four million facial images belonging to more than 4, identities. The learned representations coupling the accurate model-based alignment with the large facial database generalize remarkably well to faces in unconstrained environments, even with a simple classifier.
Face recognition technology has become part of our daily lives with the growing demand for personal authentication on apps and services on the web. It is a popular methodology today to automatically verify a person by matching his digital image with a database of images. A branch of biometrics to identify users, face recognition prevents misuse or unauthorized use of services and information in a fight against a growing number of cyber crimes like credit card misuse and computer hacking or security breach in organizations. Used in a large number of applications in HCI Human-Computer Interface , security , robotics, entertainment, and games, facial recognition brings immense advantage to the companies and end-users, helping them enhance their security and track down the trespassers.