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Now showing items 61-70 of 70
Deep learning for consumer devices and services 2-AI gets embedded at the edge
(IEEE, 2019-09-02)
The recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud ...
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 ...
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 ...
Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods
(Institute of Electrical and Electronics Engineers, 2017-01-08)
By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Determining the mood of the ...
Synthesizing game audio using deep neural networks
(Institute of Electrical and Electronics Engineers, 2018-08-15)
High quality audio plays an important role in gaming, contributing to player immersion during gameplay. Creating audio content which matches overall theme and aesthetic is essential, such that players can become fully ...
Deep learning for hand segmentation in complex backgrounds
(Institute of Electrical and Electronics Engineers, 2018-01-02)
This paper presents a Deep Learning segmentation approach for hand segmentation in gray level images with cluttered backgrounds where standard techniques cannot be used. Two networks were trained with a database of hand ...