Search
Now showing items 31-36 of 36
Unconstrained palmprint as a smartphone biometric
(IEEE, 2017-11-13)
In this work the use of palmprints as an alternative biometric for smartphones is investigated and its feasibility is evaluated across multiple devices using unconstrained acquisition. A novel multi-device database that ...
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 ...
IEEE POCO 2015 brings fun and education to Glasgow [Conference Reports]
(Institute of Electrical and Electronics Engineers, 2015-12-11)
[No abstract available]
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, ...
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 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 ...