Dr. Peyman Moghadam Profile

Dr. Peyman Moghadam

Research Scientist at CSIRO

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Area of Expertise:

Computer vision , Robotics , Human-Computer Interaction , Image Processing , Machine Learning

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Company Website | Personal Website

Publications (2)

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Proceedings Article | 12 May 2015 Paper

3D medical thermography device

Peyman Moghadam

Proceedings Volume 9485, 94851J (2015) https://doi.org/10.1117/12.2177880

KEYWORDS: 3D modeling, Thermography, Cameras, Thermal modeling, Skin, Imaging systems, Data modeling, Instrument modeling, Medical devices, 3D metrology

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In this paper, a novel handheld 3D medical thermography system is introduced. The proposed system consists of a thermal-infrared camera, a color camera and a depth camera rigidly attached in close proximity and mounted on an ergonomic handle. As a practitioner holding the device smoothly moves it around the human body parts, the proposed system generates and builds up a precise 3D thermogram model by incorporating information from each new measurement in real-time. The data is acquired in motion, thus it provides multiple points of view. When processed, these multiple points of view are adaptively combined by taking into account the reliability of each individual measurement which can vary due to a variety of factors such as angle of incidence, distance between the device and the subject and environmental sensor data or other factors influencing a confidence of the thermal-infrared data when captured. Finally, several case studies are presented to support the usability and performance of the proposed system.

Proceedings Article | 21 May 2014 Paper

HeatWave: the next generation of thermography devices

Peyman Moghadam, Stephen Vidas

Proceedings Volume 9105, 91050F (2014) https://doi.org/10.1117/12.2053950

KEYWORDS: 3D modeling, Thermal modeling, Cameras, Thermography, Data modeling, Instrument modeling, Sensors, Visualization, Calibration, Reliability

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Energy sustainability is a major challenge of the 21^st century. To reduce environmental impact, changes are required not only on the supply side of the energy chain by introducing renewable energy sources, but also on the demand side by reducing energy usage and improving energy efficiency. Currently, 2D thermal imaging is used for energy auditing, which measures the thermal radiation from the surfaces of objects and represents it as a set of color-mapped images that can be analysed for the purpose of energy efficiency monitoring. A limitation of such a method for energy auditing is that it lacks information on the geometry and location of objects with reference to each other, particularly across separate images. Such a limitation prevents any quantitative analysis to be done, for example, detecting any energy performance changes before and after retrofitting. To address these limitations, we have developed a next generation thermography device called Heat Wave. Heat Wave is a hand-held 3D thermography device that consists of a thermal camera, a range sensor and color camera, and can be used to generate precise 3D model of objects with augmented temperature and visible information. As an operator holding the device smoothly waves it around the objects of interest, Heat Wave can continuously track its own pose in space and integrate new information from the range and thermal and color cameras into a single, and precise 3D multi-modal model. Information from multiple viewpoints can be incorporated together to improve the accuracy, reliability and robustness of the global model. The approach also makes it possible to reduce any systematic errors associated with the estimation of surface temperature from the thermal images.

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