红外技术2024，Vol.46Issue(9)：1099-1105,7.
基于热红外深度估计的路用骨料三维特征评价
Three-dimensional Characterization of Road Aggregates Based on Thermal Infrared Depth Estimation
摘要
Abstract
To optimize and realize the rapid identification of three-dimensional features of road aggregates in complex environments,in this study,an infrared image three-dimensional reconstruction method is proposed based on temperature-assisted enhancement of aggregate profile.First,a 3D model library is reconstructed by calculating the point-cloud data of the aggregates with different key sieve holes.On this basis,the particle size characteristics of the 3D model,OBB enveloping box characteristics,and recognition of aggregate pinflake particles are evaluated and analyzed.The results show that the correlation coefficient between the 3D model particle size and aggregate particle size reaches 0.9916,and the OBB scale feature can reflect the 3D size information of the aggregate with a small fitting error.Compared with the traditional two-dimensional identification method,the accuracy of identifying needle flake particles based on the OBB scale feature is improved by 12%,providing new ideas for the practical application of road aggregate feature recognition.关键词
红外图像/点云图像/三维重建/OBB包围盒/针片状颗粒Key words
infrared image/point cloud image/3d reconstruction/oriented bounding box/flat-elongated particles分类
交通运输引用本文复制引用
聂根良,程晓红,周超,侯德华,李忠玉..基于热红外深度估计的路用骨料三维特征评价[J].红外技术,2024,46(9):1099-1105,7.基金项目
国家重点研发计划项目(2022YFE0123800) （2022YFE0123800）
河南省杰出外籍科学家工作室基金资助项目(GZS2022004) （GZS2022004）
河南省重点研发专项(231111520200) （231111520200）
新乡市重大科技专项(22ZD013) （22ZD013）
