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计量学报  2024, Vol. 45 Issue (7): 997-1006    DOI: 10.3969/j.issn.1000-1158.2024.07.09
  热学计量 本期目录 | 过刊浏览 | 高级检索 |
基于多视角热像图序列的物体表面温度场重建
毕淳锴,张远辉,付铎
中国计量大学 机电工程学院,浙江 杭州 310018
Surface Temperature Field Reconstruction Based on Multi-view Thermal Image Sequence
BI Chunkai,ZHANG Yuanhui,FU Duo
College of Mechanical and Electrical Engineerring,China Jiliang University, Hangzhou, Zhejiang 310018, China
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摘要 表面温度场模型能够有效反映物体表面的温度分布情况。由于单一视角采集的图像信息无法覆盖整个物体表面,难以实现整个物体表面温度场的重建,此外温度场模型中非目标物体的存在,对温度模型分析存在干扰。提出了一种基于多视角热像图序列的物体表面温度场重建方法。首先使用语义分割算法对可见光图像提取目标物体轮廓,然后结合深度数据与热像图温度信息实现目标物体单视角温度点云的融合;随后采用多视角图像数据和多视角温度点云拼接的方法,借助各视角相机的位姿对温度点云进行初始拼接,应用多视角的LM-ICP算法对全局温度点云进行配准优化。实验结果表明,该方法有效重建了物体表面温度场模型,并且具有较小的尺寸误差(2.61mm)和温度误差(0.56℃)。
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毕淳锴
张远辉
付铎
关键词 温度测量温度场重建;多视角;热像图序列;位姿估计;点云配准    
Abstract:The surface temperature field model effectively reflects the temperature distribution on the surface of the object. Since the image information collected from one single viewpoint cannot cover the entire object, it is difficult to reconstruct the temperature field of the entire object surface. Additionally, in the temperature field model, the presence of non-target objects can affect temperature model analysis. A method for reconstructing the objects surface temperature field based on a multi-view thermal image sequence was proposed. Firstly, a semantic segmentation algorithm was employed to extract the contours of the target object from visible light images, and then the fusion of the single view temperature point cloud of the target object was achieved by combining depth data with temperature information from the thermal image. Subsequently, the method of multi-view image data and multi-view temperature point cloud stitching was adopted, and the initial stitching of the temperature point cloud was carried out using the poses of cameras from various viewpoints, the multi-view LM-ICP algorithm was applied to optimize the registration of the global temperature point cloud. Experimental results show that the method effectively reconstructs the object surface temperature field model, and has small size error(2.61mm) and temperature errors(0.56℃).
Key wordstemperature measurement    temperature field reconstruction    multiple perspectives;thermal image sequence    pose estimation;point cloud registration
收稿日期: 2023-09-04      发布日期: 2024-07-04
PACS:  TB942  
基金资助:浙江省自然科学基金(LY19F010007)
通讯作者: 张远辉(1982-),浙江绍兴人,中国计量大学副教授,主要从事图像处理、机器人控制、机电一体化等方面研究。Email:zyh@cjlu.edu.cn     E-mail: zyh@cjlu.edu.cn
作者简介: 毕淳锴(1998-),江苏无锡人,中国计量大学硕士研究生,主要研究方向为温度场三维重建。Email:p21010854003@cjlu.edu.cn
引用本文:   
毕淳锴,张远辉,付铎. 基于多视角热像图序列的物体表面温度场重建[J]. 计量学报, 2024, 45(7): 997-1006.
BI Chunkai,ZHANG Yuanhui,FU Duo. Surface Temperature Field Reconstruction Based on Multi-view Thermal Image Sequence. Acta Metrologica Sinica, 2024, 45(7): 997-1006.
链接本文:  
http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2024.07.09     或     http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2024/V45/I7/997
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