Browsing College of Engineering and Informatics by Author "FotoNation Ltd"
Now showing items 1-9 of 9
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The application of deep learning on depth from multi-array camera
Javidnia, Hossein; Bazrafkan, Shabab; Corcoran, Peter (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 ... -
Application of preconditioned alternating direction method of multipliers in depth from focal stack
Javidnia, Hossein; Corcoran, Peter (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 ... -
Getting more from your datasets: Data augmentation, annotation and generative techniques
Corcoran, Peter; Bazrafkkan, Shabab; Lemley, Joe (XPERI Inc., 2018-05-18)Deep Learning for embedded vision requires large datasets. Indeed the more varied training data is, the more accurate the trained network. But, acquiring and accurately annotating datasets costs time and money. This talk ... -
Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases
Corcoran, Peter; Bazrafkkan, Shabab (XPERI Inc., 2018-05-23)Deep neural networks (DNNs) are typically trained on specific datasets, optimized with particular discriminating capabilities. Often several different DNN topologies are developed solving closely related aspects of a ... -
Latent space mapping for generation of object elements with corresponding data annotation
Bazrafkan, Shabab; Javidnia, Hossein; Corcoran, Peter (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 ... -
Pushing the AI envelope: merging deep networks to accelerate edge artificial intelligence in consumer electronics devices and systems
Bazrafkan, Shabab; Corcoran, Peter (IEEE, 2018-02-08)Deep neural networks (DNNs) are widely used by both academic and industry researchers to solve many long-standing problems in machine learning. There has been such a growth of research in this field, and it has been applied ... -
Re-training StyleGAN-A first step towards building large, scalable synthetic facial datasets
Varkarakis, Viktor; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)StyleGAN is a state-of-art generative adversarial network architecture that generates random 2D high-quality synthetic facial data samples. In this paper we recap the StyleGAN architecture and training methodology and ... -
Smartphones, biometrics, and a brave new world
Corcoran, Peter; Costache, Claudia (Institute of Electrical and Electronics Engineers (IEEE), 2016-09-09)In this article, we take a somewhat contrarian viewpoint - that biometrics may, in fact, offer solutions to many of today's cyber-security problems that appear with increasing frequency in prime-time news. This outcome ... -
Total variation-based dense depth from multicamera array
Javidnia, Hossein; Corcoran, Peter (Society of Photo-optical Instrumentation Engineers (SPIE), 2018-05-20)Multicamera arrays are increasingly employed in both consumer and industrial applications, and various passive techniques are documented to estimate depth from such camera arrays. Current depth estimation methods provide ...