Facial detection using deep learning
Manik Sharma,J. Anuradha,H K Manne,G S C Kashyap +3 more
- Vol. 263, Iss: 4, pp 042092
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This article is published in Microelectronics Systems Education.The article was published on 2017-11-01 and is currently open access. It has received 15 citations till now. The article focuses on the topics: Deep learning.read more
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A new COVID-19 Detection Method from Human Genome Sequences using CpG island Features and KNN Classifier
Hilal Arslan,Hasan Arslan +1 more
TL;DR: In this paper, the authors proposed a new efficient COVID-19 detection method based on the KNN classifier using the complete genome sequences of human coronaviruses in the dataset recorded in 2019 Novel Coronavirus Resource.
Proceedings ArticleDOI
Face Recognition using Deep Neural Network with "LivenessNet"
TL;DR: The "Face Recognition using DNN with LivenessNet" presents a face recognition method based on deep neural networks for liveness that provides accurate results with face spoofing quickly and efficiently.
Proceedings ArticleDOI
Face Detection Using Haar Cascades Classifier
Harleen Kaur,Arisha Mirza +1 more
TL;DR: This paper is going to discuss face detection using a haar cascade classifier and OpenCV, which is used for detection of frontal human faces.
Journal ArticleDOI
Face Recognition System Using Deep Belief Network and Particle Swarm Optimization
TL;DR: This developed approach improves existing methods with the maximum accuracy and is assessed using the most comprehensive facial expression datasets, including RAF-DB, AffecteNet, and Cohn-Kanade (CK+).
Journal ArticleDOI
Coders Hub ML Edu. Platform Systems
TL;DR: The main objective of the study is to develop a web-based digital repository for Machine learning algorithms combined with application models of machine learning for better learning by using the Caffe Model of the DNN Module for facial detection.
References
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Journal ArticleDOI
Robust Real-Time Face Detection
Paul A. Viola,Michael Jones +1 more
TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Proceedings ArticleDOI
Robust real-time face detection
Paul A. Viola,Michael Jones +1 more
TL;DR: A new image representation called the “Integral Image” is introduced which allows the features used by the detector to be computed very quickly and a method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions.
Journal ArticleDOI
Dlib-ml: A Machine Learning Toolkit
TL;DR: dlib-ml contains an extensible linear algebra toolkit with built in BLAS support, and implementations of algorithms for performing inference in Bayesian networks and kernel-based methods for classification, regression, clustering, anomaly detection, and feature ranking.
Proceedings ArticleDOI
Face detection, pose estimation, and landmark localization in the wild
Xiangxin Zhu,Deva Ramanan +1 more
TL;DR: It is shown that tree-structured models are surprisingly effective at capturing global elastic deformation, while being easy to optimize unlike dense graph structures, in real-world, cluttered images.
Journal Article
Fast Multi-view Face Detection
Michael Jones,Paul A. Viola +1 more
TL;DR: A multi-view detector presented in this pa-per is a combination of Viola-Jones detectors, each detectortrained on face data taken from a single viewpoint, which appears that a monolithic approach to face detection is unlearnable with existing classifier trained on all poses.