3D Temperature Distribution Model Based on Vision Method

被引:0
|
作者
Jia, Tong [1 ]
Tu, Mo [1 ]
Jiang, Yuli [1 ]
Zhang, Shuai [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Thermal Infrared Images; Binocular Vision; Belief Propagation; 3D Temperature Distribution Model; STEREO; FIELD;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper studies the construction of 3D temperature distribution reconstruction system based on the binocular visual technology. First of all, since the thermal infrared camera is only sensitive to temperature, the traditional calibration method cannot be directly used in it. Therefore, the paper designs a thermal infrared camera calibration board to complete the calibration of the thermal infrared camera. Then, in terms of stereo matching, it further studies the traditional belief propagation algorithm and improves its smooth model, so as to optimize the mismatching rate greatly. Finally, in terms of the 3D model construction, it constructs the corresponding relationship between the points on the 3D model and the pixels on the temperature images based on the known thermal infrared camera and the space position information of the visible light camera and maps the temperature information to the 3D model. Experimental results show that the method can accurately construct the 3D temperature distribution model and the model has strong robustness.
引用
收藏
页码:852 / 855
页数:4
相关论文
共 50 条
  • [1] 3D registration method based on monocular vision and perspective model
    Han Jiandong
    Lu Naiguang
    2008 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC MEASUREMENT TECHNOLOGY AND APPLICATIONS, 2009, 7160
  • [2] 3D model fitting method based on point distribution model
    Xu Z.-Y.
    Zhao X.-Q.
    Jiang H.-M.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2021, 55 (12): : 2373 - 2381
  • [3] 3D Temperature Distribution Model Based on Thermal Infrared Image
    Jia, Tong
    Wang, HongYu
    Chen, DongYue
    Hou, MingYa
    Wu, ChengDong
    Tu, Mo
    Jiang, Yuli
    Zhang, Shuai
    JOURNAL OF SENSORS, 2017, 2017
  • [4] 3D geometric model simplification method based on preserved vision feature
    Wang, Rui
    Li, Jun-Shan
    Liu, Guo-Qing
    Hu, Shuang-Yan
    Guangdian Gongcheng/Opto-Electronic Engineering, 2008, 35 (07): : 63 - 67
  • [5] A 3D reconstruction method for buildings based on monocular vision
    Xu, Boqiang
    Liu, Chao
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2022, 37 (03) : 354 - 369
  • [6] Improved vision based 3D shape measurement method
    Roevid, A.
    Hashimoto, T.
    ICCC 2007: 5TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL CYBERNETICS, PROCEEDINGS, 2007, : 245 - 250
  • [7] 3D Model Retrieval Based on Vision Feature Fusion
    Zhang, Mandun
    Ma, Yingshi
    Wang, Xiaofang
    Wei, Wei
    Xiao, Zhidong
    PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2018, : 905 - 909
  • [8] Research on 3D Temperature Distribution Model based on Affine Projection and Feature Registration
    Wang, HongYu
    Wu, Chengdong
    Jia, Tong
    Lie, Dongxue
    Jiang, Yang
    Jia, Zixi
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 9394 - 9399
  • [9] 3D model retrieval based on volume distribution
    Wenjun, Dai
    Gangshan, Wu
    Fuyan, Zhang
    ADVANCES IN COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2005, VOLS 4 A & 4 B, 2005, 4A-4B : 1537 - 1541
  • [10] Vehicle 3D Space Detection Method Based on Monocular Vision
    Gu D.-Y.
    Zhang S.
    Meng F.-W.
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2022, 43 (03): : 328 - 334