Infrared Imaging for Human Thermography and Breast Tumor Classification using Thermal Images
12th June 2020
Human thermography is considered to be an integral medical diagnostic tool for detecting heat patterns and measuring quantitative temperature data of the human body. It can be used in conjunction with other medical diagnostic procedures for getting comprehensive medication results. In the proposed study we have highlighted the significance of Infrared Thermography (IRT) and the […]
Synthetic Thermal Image Generation for Human-Machine Interaction in Vehicles
26th May 2020
Richard Blythman virtually presented the team’s work on creating synthetic thermal image datasets for deep learning at an IEEE conference, Quality of Multimedia Experience (QoMEX 2020). Synthetic data holds promise for reducing the number of real images required to train deep learning algorithms, especially for thermal imaging applications where there are much fewer publicly-available datasets. […]
Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
26th May 2020
In this work, we extend existing methodologies to show how 2D thermal facial data can be mapped to provide 3D facial models. For the proposed research work we have used tufts datasets for generating 3D varying face poses by using a single frontal face pose. The system works by refining the existing image quality by […]