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Application of preconditioned alternating direction method of multipliers in depth from focal stack
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-04-06)
Postcapture refocusing effect in smartphone cameras is achievable using focal stacks. However, the accuracy of this effect is totally dependent on the combination of the depth layers in the stack. The accuracy of the ...
Convolutional neural network implementation for eye-gaze estimation on low-quality consumer imaging systems
(IEEE, 2019-02-15)
Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems, such as driver monitoring systems and novel user interfaces. Such systems are required to operate reliably in difficult, ...
Blockchain in energy efficiency: Potential applications and benefits
(MDPI, 2019-08-28)
Blockchain technology is ready to disrupt nearly every industry and business model, and the energy sector is no exception. Energy businesses across the world have already started exploring the use of blockchain technology ...
IEEE POCO 2015 brings fun and education to Glasgow [Conference Reports]
(Institute of Electrical and Electronics Engineers, 2015-12-11)
[No abstract available]
The application of deep learning on depth from multi-array camera
(Institute of Electrical and Electronics Engineers, 2018-01-02)
Consumer-level multi-array cameras are a key enabling technology for next generation smartphones imaging systems. The present paper aims to analyze the accuracy of the depth estimation while using different camera combinations ...
Fake data - the future of advanced computer vision systems
(NUI Galway, 2018-10-22)
Recent research shows that Data Augmentation techniques and Synthetic Data can improve the accuracy and reduce the susceptibility of Deep Neural Networks to Adversarial Attacks. In this presentation we consider some of the ...
Edge-AI: Rise of the neural accelerators
(EMAI 2019 Emerging Memory and Artificial Intelligence Workshop, 2019-08-29)
We are at the cusp of a new era in AI. Recently deep learning has revolutionised the field of Computer Vision, disrupting more traditional algorithmic approaches to object recognition, scene analysis and image understanding. ...
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision (Errata for acknowledgments)
(IEEE, 2017-06-14)
Presents corrections for acknowledgments in the paper:
Lemley, J., Bazrafkan, S., & Corcoran, P. (2017). Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, ...
GazeVisual: A practical software tool and web application for performance evaluation of eye tracking systems
(IEEE, 2019-04-22)
The concept and functionalities of a software tool developed for in depth performance evaluation of eye gaze estimation systems is presented. The software, GazeVisual has capabilities for quantitative, statistical, and ...
Privacy challenges for smart-cities: The challenge of IoT camera uberveilance
(IEEE World Forum on Internet of Things, 2019-04-15)
The challenges of handling personal privacy are examined in the context of a smart-city environment with every-present surveillance. The current state of digital camera technology is reviewed and two over-arching approaches ...