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Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large dataset of
off-axis iris regions and train a low-complexity deep neural network. Although of low …
off-axis iris regions and train a low-complexity deep neural network. Although of low …
A study of user interface with wearable devices based on computer vision
FR Hsu, YH Kuo, SY Wei, YH Hsieh… - IEEE Consumer …, 2019 - ieeexplore.ieee.org
Smart wearable devices are widely used in the field of healthcare. This article presents three
approaches to human-computer interaction (HCI) via computer vision and hand gestures …
approaches to human-computer interaction (HCI) via computer vision and hand gestures …
A deep learning approach to segmentation of distorted iris regions in head-mounted displays
V Varkarakis, S Bazrafkan… - 2018 IEEE games …, 2018 - ieeexplore.ieee.org
In this paper, we consider the next generation of wearable ARlVR display glasses and the
challenges of personal authentication on such devices. The use of iris authentication as a …
challenges of personal authentication on such devices. The use of iris authentication as a …
[CITÁCIA][C] Smart Glasses und Public Displays: Entwicklung einer Komponente für ubiquitäres Crowdsourcing im Kontext von Großschadenslagen
L Dratwa, DWIC Kotthaus, DWIDT Ludwig