Sparse point cloud segmentation method applied to indoor actual measurement

• Main Authors: ZHAO KANG, ZHANG YUPIN, YU DAHAI, ZHOU HUIXING, ZHANG ZHONGYUE
• Format: Patent
• Language: Chinese; English
• Published: 19.03.2024
• Subjects: GYROSCOPIC INSTRUMENTS; MEASURING; MEASURING DISTANCES, LEVELS OR BEARINGS; NAVIGATION; PHOTOGRAMMETRY OR VIDEOGRAMMETRY; PHYSICS; SURVEYING; TESTING

The invention relates to the technical field of civil engineering and electromechanical engineering, and discloses a sparse point cloud segmentation method applied to indoor actual measurement. Comprising the steps of indoor sparse point cloud based on equal-angle scanning, point cloud space conversion based on DH modeling positive solution solving, multi-laser DH positive solution solving of three-dimensional information, cellular information storage and a point cloud segmentation method based on a space angle. The method aims to solve the problem that a traditional dense point cloud segmentation algorithm is not suitable for sparse point cloud segmentation during indoor three-dimensional reconstruction, and compared with a current dense point cloud segmentation algorithm based on a laser radar, the method effectively reduces the three-dimensional point cloud data volume and the calculation time cost, and improves the reconstruction efficiency. The method is more suitable for indoor actual measurement scenes