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Now showing items 11-20 of 70
Iris authentication in handheld devices - considerations for constraint-free acquisition
(IEEE, 2015-05)
As a near ideal biometric, iris authentication is widely used and mobile acquisition techniques are known. But iris acquisition on handheld imaging devices, such as smartphones, poses multiple, unique challenges. In this ...
An FPGA-based stereoscopic camera - electronic design tools and techniques
(IEEE, 2010-08-05)
Electronic design tools and techniques for the implementation of a stereoscopic camera based on an FPGA (Field Programmable Gate Array) are presented. The stages of an IPP (Image Processing Pipeline) are presented together ...
Just another year in the consumer electronics industry? [notes from the editor]
(IEEE, 2016-01-01)
Welcome to another CES show issue of IEEE Conumer Electronics Magazine. This issue is aligned with the International CES held in Las Vegas, a global meeting for the consumer electronics (CE) industry where you can view the ...
Champions in our midst: the father of digital video broadcasting
(IEEE, 2015)
One of the benefits of joining the IEEE Consumer Electronics (CE) Society is that you get access to senior engineers and researchers from our industry. They are often at our conferences, workshops, and local Chapter meetings ...
Hardware implementation of a real-time 3D video acquisition system
(IEEE, 2010-07-15)
An implementation of a real-time 3D video acquisition system on a single FPGA is presented. Our approach is based on the use of stereo image sensors and can display real-time 3D video when combined with shutter glasses. ...
A crash course on patents for engineers
(IEEE, 2013-01-12)
Most engineers are aware of the existence of patents. Indeed the preparation of patent disclosures is an important aspect of most research engineering job functions. Yet for many engineers the world of patents remains ...
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)
In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ...
Getting more from your datasets: Data augmentation, annotation and generative techniques
(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
(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 ...
Introducing the IEEE Biometrics Compendium: Insight into the current issue.
(IEEE, 2014-01)
IEEE biometrics compendium is the first IEEE virtual journal, which is a
collection of previously published IEEE papers in specific scientific and
technical disciplines paired with value-added commentary from technology ...