Browsing College of Engineering and Informatics by Subject "deep learning"
Now showing items 1-3 of 3
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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, ... -
Generating thermal image data samples using 3D facial modelling techniques and deep learning methodologies
(Institute of Electrical and Electronics Engineers (IEEE), 2020-05-26)Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for a wide range of computer vision applications. ... -
On the role of thermal imaging in automotive applications: A critical review
(Institute of Electrical and Electronics Engineers, 2023-03-09)For decades, the number of automobiles in urban areas around the world has been increasing. It causes serious challenges such as traffic congestion, accidents, and pollution, which have a social, economic, and environmental ...