Tao Li
Faculty of Engineering, University of Miyazaki, 1-1, Gakuen Kibanadai-nishi, Miyazaki-shi, Japan
Kikuhito Kawasue
Faculty of Engineering, University of Miyazaki, 1-1, Gakuen Kibanadai-nishi, Miyazaki-shi, Japan
ABSTRACT
Infrared (IR) thermography is device that can measure the distribution of infrared energy emitted from the surface of these objects. Since two-dimensional thermal images can be easily obtained without making contact with the object, the thermography has been used in fields such as agriculture, medicine, engineering and architecture. This study presents calibration methods that enable combining three-dimensional (3D) scanning technology with thermography. Three types of image measurement systems are introduced. The proposed systems can detect not only the 3D shape of a target object but also its temperature distribution. Application technology based on infrared thermography can make great strides in biological and medical fields by acquiring the 3D temperature distribution. In addition, a new Iterative Closest Point (ICP) algorithm is introduced. The feasibility of the proposed systems was confirmed by experiment.
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How to cite this article
Tao Li and Kikuhito Kawasue, 2013. Calibration Methods for 3D Thermo-sensing System. Information Technology Journal, 12: 8424-8429.
DOI: 10.3923/itj.2013.8424.8429
URL: https://scialert.net/abstract/?doi=itj.2013.8424.8429
DOI: 10.3923/itj.2013.8424.8429
URL: https://scialert.net/abstract/?doi=itj.2013.8424.8429
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