[1] J H Jing, M D Kong, Q Wang et al. Measurement of absorption loss of optical thin-film by infrared thermal imaging. Opto-Electron Eng, 48, 210071(2021).
[2] H J Zheng, B Ge, C X Xia et al. Infrared-visible person re-identification based on multi feature aggregation. Opto-Electron Eng, 50, 230136(2023).
[3] H J Liu, L S Liu, M C Zhang. An improved infrared object detection algorithm based on YOLOv5. Laser Technol, 48, 534-541(2024).
[4] A Dlesk, K Vach, K Pavelka. Photogrammetric co-processing of thermal infrared images and RGB images. Sensors, 22, 1655(2022).
[5] Y L Yang, C Xu. Fusion reconstruction method for 3D temperature fields on the human body surface. Infrared Technol, 44, 33-40(2022).
[6] C K Bi, Y H Zhang, D Fu. Surface temperature field reconstruction based on multi-view thermal image sequence. Acta Metrol Sin, 45, 997-1006(2024).
[7] Y H Zhang, B R Xu, J J Zhu et al. 3D temperature model reconstruction based on fusion of visible and thermal images. Acta Metrol Sin, 43, 256-263(2022).
[8] J H Zhang, T J Zhang, Y Zhao et al. Multi-sensor visual SLAM method for indoor dynamic scenes. Inf Control, 51, 641-650,661(2022).
[9] T Sentenac, F Bugarin, B Ducarouge et al. Automated thermal 3D reconstruction based on a robot equipped with uncalibrated infrared stereovision cameras. Adv Eng Inf, 38, 203-215(2018).
[10] G Batchuluun, J K Kang, D T Nguyen et al. Deep learning-based thermal image reconstruction and object detection. IEEE Access, 9, 5951-5971(2021).
[11] Y P Cao, B B Xu, Z Y Ye et al. Depth and thermal sensor fusion to enhance 3D thermographic reconstruction. Opt Express, 26, 8179-8193(2018).
[13] J Canny. A Computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell, PAMI-8, 679-698(1986).
[14] N Otsu. A Threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern, 9, 62-66(1979).
[15] P F Han, G Zhao. CAD-based 3D objects recognition in monocular images for mobile augmented reality. Comput Graph, 50, 36-46(2015).
[16] S Garrido-Jurado, R Muñoz-Salinas, F J Madrid-Cuevas et al. Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recognition, 47, 2280-2292(2014).
[17] V Lepetit, F Moreno-Noguer, P Fua. EPnP: an accurate O(n) solution to the PnP problem. Int J Comput Vis, 81, 155-166(2009).
