DocumentCode :
155255
Title :
Multimodal registration of high-resolution thermal image mosaics for the non-destructive evaluation of structures
Author :
Hess, M. ; Kuester, Falko ; Trivedi, Mohan
Author_Institution :
Struct. Eng., Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2014
fDate :
14-17 Oct. 2014
Firstpage :
216
Lastpage :
221
Abstract :
This paper proposes an approach to automatically register thermal images to visible images by utilizing known relative camera positions. There are multiple areas of application for the fusion of visible and thermal images, but previous approaches require feature detection and matching in both visible and infrared ranges in order to register the two imaging modalities. In the application domain of structural diagnostics, it is not guaranteed that corresponding features will be present in the thermal images. The diagnostic imaging is being performed on building-scale targets which is another characteristic of this application that separates itself from prior thermal-visible registration studies. Non-destructive evaluation of structures could require the inspection of entire building facades which necessitates many thermal images to yield a desirable level of resolution and detail. The acquisition of high-resolution thermal image mosaics generates the level of detail required and provides context for the entire target structure. A low-cost camera mount was custom designed and 3D printed in order to mount visible web cameras around a thermal camera. Once the system is calibrated with a pair of multimodal images that contain corresponding features, every subsequent pair of images can be automatically registered. An application for this approach is presented in which the generation of a visible image mosaic in turn automatically generates a registered thermal image mosaic. The benefit of this approach is that there is no reliance on features being present in the thermal images in order to register them to the visible images.
Keywords :
buildings (structures); feature extraction; image fusion; image matching; image registration; infrared imaging; structural engineering computing; feature detection; feature matching; image fusion; multimodal registration; nondestructive evaluation; structural diagnostics; thermal image mosaic; visible image mosaic; Buildings; Calibration; Cameras; Feature extraction; Mutual information; Registers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2014 IEEE International Conference on
Conference_Location :
Santorini
Type :
conf
DOI :
10.1109/IST.2014.6958476
Filename :
6958476
Link To Document :
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