Depth and Thermal Sensor Fusion to Enhance 3D Thermographic Reconstruction

Yanpeng Cao, Baobei Xu, Zhangyu Ye, Jiangxin Yang, Yanlong Cao, Christel-Loic Tisse & Xin Li
3D geometrical models with incorporated surface temperature data provide important information for various applications such as medical imaging, energy auditing, and intelligent robots. In this paper we present a robust method for mobile and real-time 3D thermographic reconstruction through depth and thermal sensor fusion. A multimodal imaging device consisting of a thermal camera and a RGB-D sensor is calibrated geometrically and used for data capturing. Based on the underlying principle that temperature information remains robust...
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