Abstract
The fusion of three-dimensional (3D) geometrical and two-dimensional (2D) thermal information provides a promising method for characterizing temperature distribution of 3D objects, extending infrared imaging from 2D to 3D to support various thermal inspection applications. In this paper, we present an effective on-the-fly calibration approach for accurate alignment of depth and thermal data to facilitate dynamic and fast-speed 3D thermal scanning tasks. For each pair of depth and thermal frames, we estimate their relative pose by minimizing the objective function that measures the temperature consistency between a 2D infrared image and the reference 3D thermographic model. Our proposed frame-to-model mapping scheme can be seamlessly integrated into a generic 3D thermographic reconstruction framework. Through graphics-processing-unit-based acceleration, our method requires less than 10 ms to generate a pair of well-aligned depth and thermal images without hardware synchronization and improves the robustness of the system against significant camera motion.
© 2019 Optical Society of America
Full Article | PDF ArticleMore Like This
Yanpeng Cao, Baobei Xu, Zhangyu Ye, Jiangxin Yang, Yanlong Cao, Christel-Loic Tisse, and Xin Li
Opt. Express 26(7) 8179-8193 (2018)
Pei An, Tao Ma, Kun Yu, Bin Fang, Jun Zhang, Wenxing Fu, and Jie Ma
Opt. Express 28(2) 2122-2141 (2020)
Zhengchao Lai, Yue Wang, Shangwei Guo, Xiantong Meng, Jun Li, Wenhao Li, and Shaokun Han
Opt. Express 30(10) 16242-16263 (2022)