计量学报2024，Vol.45Issue(7)：997-1006,10.DOI:10.3969/j.issn.1000-1158.2024.07.09
基于多视角热像图序列的物体表面温度场重建
Surface Temperature Field Reconstruction Based on Multi-view Thermal Image Sequence
摘要
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(2.61 mm)and temperature errors(0.56℃).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Key words
temperature measurement/temperature field reconstruction/multiple perspectives/thermal image sequence/pose estimation/point cloud registration分类
通用工业技术引用本文复制引用
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):997-1006,10.基金项目
浙江省自然科学基金(LY19F010007) （LY19F010007）
