Handheld 3D thermography using range sensing and computer vision


Autoria(s): Vidas, Stephen G.
Data(s)

2014

Resumo

This thesis developed a method for real-time and handheld 3D temperature mapping using a combination of off-the-shelf devices and efficient computer algorithms. It contributes a new sensing and data processing framework to the science of 3D thermography, unlocking its potential for application areas such as building energy auditing and industrial monitoring. New techniques for the precise calibration of multi-sensor configurations were developed, along with several algorithms that ensure both accurate and comprehensive surface temperature estimates can be made for rich 3D models as they are generated by a non-expert user.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/68030/

Publicador

Queensland University of Technology

Relação

http://eprints.qut.edu.au/68030/1/Stephen_Vidas_Thesis.pdf

Vidas, Stephen G. (2014) Handheld 3D thermography using range sensing and computer vision. PhD thesis, Queensland University of Technology.

Fonte

School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty

Palavras-Chave #3D reconstruction #camera calibration #energy auditing #handheld device #localisation #radiometric calibration #remote sensing #temperature mapping #thermal-infrared #thermography
Tipo

Thesis