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Now showing items 101-110 of 118
Accurate 2D facial depth models derived from a 3D synthetic dataset
(Institute of Electrical and Electronics Engineers (IEEE), 2021-05-13)
As Consumer Technologies (CT) seeks to engage and interact more closely with the end-user it becomes important to observe and analyze a user’s interaction with CT devices and associated services. One of the most useful ...
A novel machine learning based method for deepfake video detection in social media
(Institute of Electrical and Electronics Engineers (IEEE), 2021-05-12)
With the advent of deepfake videos, video forgery has become a serious threat. Videos in social media are the most common and serious targets. There are some existing works for detecting deepfake videos but very few attempts ...
Latent space mapping for generation of object elements with corresponding data annotation
(Elsevier, 2018-10-25)
Deep neural generative models such as Variational Auto-Encoders (VAE) and Generative Adversarial Networks (GAN) give promising results in estimating the data distribution across a range of machine learning fields of ...
Iris recognition on consumer devices - challenges and progress
(IEEE, 2015-11-11)
This article outlines various technical, social and ethical challenges in implementing and widely adopting iris recognition technology on consumer devices such as smartphone or tablets. Acquisition of sufficient quality ...
Gaze Visual - A graphical software tool for performance evaluation of eye gaze estimation systems
(Institute of Electrical and Electronics Engineers, 2018-08-15)
The concept of an open source software developed for all round performance evaluation of gaze tracking systems is presented. The capabilities of this software towards quantitative, statistical and visual analysis of gaze ...
Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms
(Institute of Electrical and Electronics Engineers, 2017-01-08)
The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk ...
Iris liveness detection for next generation smartphones
(Institute of Electrical and Electronics Engineers, 2016-07-19)
This paper presents a novel liveness detection method that exploits the acquisition workflow for iris biometrics on smartphones using a hybrid visible (RGB)/near infra-red (NIR) sensor. These devices are able to capture ...
Infrared imaging for human thermography and breast tumor classification using thermal images
(Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
Human thermography is considered to be an integral medical diagnostic tool for detecting heat patterns and measuring quantitative temperature data of the human body. It can be used in conjunction with other medical diagnostic ...
A review of resolution losses for AR/VR foveated imaging applications
(Institute of Electrical and Electronics Engineers, 2018-08-15)
Foveated imaging is of great interest for Augmented and Virtual Reality applications. The resolution losses off-axis simulated in foveated imaging are modelled using cone density on the retina. This article reviews the ...
In-camera person-indexing of digital images
(Institute of Electrical and Electronics Engineers, 2006-01-07)
A prototype implementation of an automatic in-camera cataloging tool is presented. An external infrastructure to store and analyze images and support the in-camera cataloging tool is also described.