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Computation of point clouds and joint display of point clouds and building information models with project schedules for monitoring construction progress, productivity, and risk for delays

机译:计算点云,联合显示点云,并建立具有项目进度的信息模型,以监控施工进度、生产率和延误风险

摘要

A system initializes a set of calibrated images with known 3D pose relative to a 3D building information model (BIM) to be anchor images, detects features within images of unknown position and orientation, and determines matches with features of the calibrated images. The system determines a subset of the images that have at least a threshold number of matching features, selects an image from the subset of the images having the largest number of matching features, and executes a reconstruction algorithm using the image and the anchor images to calibrate the image to the BIM and generate an initial 3D point cloud model. The system repeats the last steps to identify a second image from the subset and perform, starting with the initial 3D point cloud model and using the second image, 3D reconstruction to generate an updated 3D point cloud model that is displayable in a graphical user interface.
机译:系统将一组相对于三维建筑信息模型(BIM)具有已知三维姿势的校准图像初始化为锚定图像,检测未知位置和方向的图像中的特征,并确定与校准图像特征的匹配。系统确定至少具有阈值数量的匹配特征的图像子集,从具有最大数量匹配特征的图像子集中选择图像,并使用图像和锚图像执行重建算法,以将图像校准到BIM,并生成初始3D点云模型。系统重复最后的步骤,从子集中识别第二个图像,并从初始3D点云模型开始,使用第二个图像执行3D重建,以生成可在图形用户界面中显示的更新3D点云模型。

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