建筑结构学报2025，Vol.46Issue(4)：188-197,10.DOI:10.14006/j.jzjgxb.2024.0237
融合图像哈希特征与运动轨迹约束的塔吊多视角图像智能筛选与三维重建方法
Intelligent multi-view image filtering and 3D reconstruction method of tower crane based on image hash features and motion trajectory constraints
摘要
Abstract
3D real-world digital model serves as a foundational data layer for refined construction site management,enhancing efficiency and cost-effectiveness through image-based 3D reconstruction methods leveraging crane-mounted cameras.To improve the quality and efficiency for image acquisition of crane-mounted camera,the intelligent multi-view image filtering and 3D reconstruction approach that integrates image hash features with motion trajectory constraints is proposed.The approach eliminates redundant images based on hash similarity,ensures completeness via feature motion trajectory and motion modeling,and reconstruct the 3D model using COLMAP.The quality of image set and point cloud is also quantitatively evaluated.A case study on a residential project demonstrates that the filtered image set satisfies overlap and completeness criteria,achieving an average overlap of 81.44％and a completeness rate of 100％.Furthermore,the resulting 3D model exhibits high completeness and geometric continuity,with a point cloud surface density of 31.83 points/m2 and a void ratio of 6.94％.Notably,this method improves overall modeling efficiency by approximately 90％,meeting the requirements for efficient 3D reconstruction in construction scenarios.关键词
施工现场管理/三维重建/图像集/图像哈希/特征轨迹Key words
construction site management/3D reconstruction/image set/image hash/feature trajectory分类
建筑与水利引用本文复制引用
卢昱杰,张修龙,仲涛..融合图像哈希特征与运动轨迹约束的塔吊多视角图像智能筛选与三维重建方法[J].建筑结构学报,2025,46(4):188-197,10.基金项目
国家重点研发计划(2022YFC3801700),国家自然科学基金项目(52078374),上海市Ⅰ类高峰学科资助(2022-3-ZD-04). （2022YFC3801700）
