Opto-Electronic Engineering, Volume. 51, Issue 11, 240211-1(2024)

Reconstruction of the spatial temperature field based on geometric constraints under a thermal imager

Chengyu Ni, Yuanhui Zhang*, Junjiang Zhu, and Duo Fu
Author Affiliations
  • College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • show less
    References(17)

    [1] Jing J H, Kong M D, Wang Q et al. Measurement of absorption loss of optical thin-film by infrared thermal imaging[J]. Opto-Electron Eng, 48, 210071(2021).

    [2] Zheng H J, Ge B, Xia C X et al. Infrared-visible person re-identification based on multi feature aggregation[J]. Opto-Electron Eng, 50, 230136(2023).

    [3] Liu H J, Liu L S, Zhang M C. An improved infrared object detection algorithm based on YOLOv5[J]. Laser Technol, 48, 534-541(2024).

    [4] Dlesk A, Vach K, Pavelka K. Photogrammetric co-processing of thermal infrared images and RGB images[J]. Sensors, 22, 1655(2022).

    [5] Yang Y L, Xu C. Fusion reconstruction method for 3D temperature fields on the human body surface[J]. Infrared Technol, 44, 33-40(2022).

    [6] Bi C K, Zhang Y H, Fu D. Surface temperature field reconstruction based on multi-view thermal image sequence[J]. Acta Metrol Sin, 45, 997-1006(2024).

    [7] Zhang Y H, Xu B R, Zhu J J et al. 3D temperature model reconstruction based on fusion of visible and thermal images[J]. Acta Metrol Sin, 43, 256-263(2022).

    [8] Zhang J H, Zhang T J, Zhao Y et al. Multi-sensor visual SLAM method for indoor dynamic scenes[J]. Inf Control, 51, 641-650,661(2022).

    [9] Sentenac T, Bugarin F, Ducarouge B et al. Automated thermal 3D reconstruction based on a robot equipped with uncalibrated infrared stereovision cameras[J]. Adv Eng Inf, 38, 203-215(2018).

    [10] Batchuluun G, Kang J K, Nguyen D T et al. Deep learning-based thermal image reconstruction and object detection[J]. IEEE Access, 9, 5951-5971(2021).

    [11] Cao Y P, Xu B B, Ye Z Y et al. Depth and thermal sensor fusion to enhance 3D thermographic reconstruction[J]. Opt Express, 26, 8179-8193(2018).

    [13] Canny J. A Computational approach to edge detection[J]. IEEE Trans Pattern Anal Mach Intell, PAMI-8, 679-698(1986).

    [14] Otsu N. A Threshold selection method from gray-level histograms[J]. IEEE Trans Syst Man Cybern, 9, 62-66(1979).

    [15] Han P F, Zhao G. CAD-based 3D objects recognition in monocular images for mobile augmented reality[J]. Comput Graph, 50, 36-46(2015).

    [16] Garrido-Jurado S, Muñoz-Salinas R, Madrid-Cuevas F J et al. Automatic generation and detection of highly reliable fiducial markers under occlusion[J]. Pattern Recognition, 47, 2280-2292(2014).

    [17] Lepetit V, Moreno-Noguer F, Fua P. EPnP: an accurate O(n) solution to the PnP problem[J]. Int J Comput Vis, 81, 155-166(2009).

    Tools

    Get Citation

    Copy Citation Text

    Chengyu Ni, Yuanhui Zhang, Junjiang Zhu, Duo Fu. Reconstruction of the spatial temperature field based on geometric constraints under a thermal imager[J]. Opto-Electronic Engineering, 2024, 51(11): 240211-1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Article

    Received: Sep. 3, 2024

    Accepted: Nov. 15, 2024

    Published Online: Jan. 24, 2025

    The Author Email: Yuanhui Zhang (张远辉)

    DOI:10.12086/oee.2024.240211

    Topics