Department of Civil Engineering, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung 402, Taiwan.
Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung 402, Taiwan.
Sensors (Basel). 2018 Jun 22;18(7):2003. doi: 10.3390/s18072003.
Thermal infrared imagery provides temperature information on target objects, and has been widely applied in non-destructive testing. However, thermal infrared imagery is not always able to display detailed textures of inspected objects, which hampers the understanding of geometric entities consisting of temperature information. Although some commercial software has been developed for 3D thermal model displays, the software requires the use of expensive specific thermal infrared sensors. This study proposes a cost-effective method for 3D thermal model reconstruction based on image-based modeling. Two smart phones and a low-cost thermal infrared camera are employed to acquire visible images and thermal images, respectively, that are fused for 3D thermal model reconstruction. The experiment results demonstrate that the proposed method is able to effectively reconstruct a 3D thermal model which extremely approximates its corresponding entity. The total computational time for the 3D thermal model reconstruction is intensive while generating dense points required for the creation of a geometric entity. Future work will improve the efficiency of the proposed method in order to expand its potential applications to in-time monitoring.
热红外图像提供了目标物体的温度信息，已被广泛应用于无损检测中。然而，热红外图像并不总是能够显示被检测物体的详细纹理，这阻碍了对由温度信息组成的几何实体的理解。虽然已经开发了一些用于 3D 热模型显示的商业软件，但该软件需要使用昂贵的特定热红外传感器。本研究提出了一种基于基于图像建模的低成本 3D 热模型重建方法。使用两部智能手机和一台低成本的热红外相机分别获取可见图像和热图像，并将它们融合进行 3D 热模型重建。实验结果表明，该方法能够有效地重建出与实体非常接近的 3D 热模型。在密集点的生成过程中，3D 热模型重建的总计算时间非常密集，这是创建几何实体所必需的。未来的工作将提高所提出方法的效率，以便将其潜在应用扩展到及时监测中。
