Real-time mobile 3D temperature mapping

The ability to measure surface temperature and represent it on a metrically accurate 3D model has proven applications in many areas, such as medical imaging, building energy auditing, and search and rescue. A system is proposed that enables this task to be performed with a handheld sensor, and for t...

Full description

Saved in:
Bibliographic Details
Main Authors: Moghadam, Peyman, Vidas, Stephen, Sridharan, Sridha
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/106987
http://hdl.handle.net/10220/25257
http://dx.doi.org/10.1109/JSEN.2014.2360709
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-106987
record_format dspace
spelling sg-ntu-dr.10356-1069872019-12-06T22:22:32Z Real-time mobile 3D temperature mapping Moghadam, Peyman Vidas, Stephen Sridharan, Sridha School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The ability to measure surface temperature and represent it on a metrically accurate 3D model has proven applications in many areas, such as medical imaging, building energy auditing, and search and rescue. A system is proposed that enables this task to be performed with a handheld sensor, and for the first time with results able to be visualized and analyzed in real time. A device comprising a thermal-infrared camera and range sensor is calibrated geometrically and used for data capture. The device is localized using a combination of iterative closest point and video-based pose estimation from the thermal-infrared video footage, which is shown to reduce the occurrence of failure modes. Furthermore, the problem of misregistration, which can introduce severe distortions in assigned surface temperatures is avoided through the use of a risk-averse neighborhood weighting mechanism. Results demonstrate that the system is more stable and accurate than previous approaches, and can be used to accurately model complex objects and environments for practical tasks. Accepted version 2015-03-23T08:06:24Z 2019-12-06T22:22:32Z 2015-03-23T08:06:24Z 2019-12-06T22:22:32Z 2014 2014 Journal Article Vidas, S., Moghadam, P., & Sridharan, S. (2014). Real-time mobile 3D temperature mapping. IEEE sensors journal, 15(2), 1145-1152. 1530-437X https://hdl.handle.net/10356/106987 http://hdl.handle.net/10220/25257 http://dx.doi.org/10.1109/JSEN.2014.2360709 en IEEE sensors journal © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/JSEN.2014.2360709]. 8 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Moghadam, Peyman
Vidas, Stephen
Sridharan, Sridha
Real-time mobile 3D temperature mapping
description The ability to measure surface temperature and represent it on a metrically accurate 3D model has proven applications in many areas, such as medical imaging, building energy auditing, and search and rescue. A system is proposed that enables this task to be performed with a handheld sensor, and for the first time with results able to be visualized and analyzed in real time. A device comprising a thermal-infrared camera and range sensor is calibrated geometrically and used for data capture. The device is localized using a combination of iterative closest point and video-based pose estimation from the thermal-infrared video footage, which is shown to reduce the occurrence of failure modes. Furthermore, the problem of misregistration, which can introduce severe distortions in assigned surface temperatures is avoided through the use of a risk-averse neighborhood weighting mechanism. Results demonstrate that the system is more stable and accurate than previous approaches, and can be used to accurately model complex objects and environments for practical tasks.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Moghadam, Peyman
Vidas, Stephen
Sridharan, Sridha
format Article
author Moghadam, Peyman
Vidas, Stephen
Sridharan, Sridha
author_sort Moghadam, Peyman
title Real-time mobile 3D temperature mapping
title_short Real-time mobile 3D temperature mapping
title_full Real-time mobile 3D temperature mapping
title_fullStr Real-time mobile 3D temperature mapping
title_full_unstemmed Real-time mobile 3D temperature mapping
title_sort real-time mobile 3d temperature mapping
publishDate 2015
url https://hdl.handle.net/10356/106987
http://hdl.handle.net/10220/25257
http://dx.doi.org/10.1109/JSEN.2014.2360709
_version_ 1681042288049913856