Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (8): 28-32,38.doi: 10.13474/j.cnki.11-2246.2020.0243

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Building fine modeling based on multi-source point cloud data fusion

WANG Shuzhen1, ZHENG Guoqiang1, WANG Guangsheng1, HU Yumin2, ZHANG Dehuai2, QI Wei3   

  1. 1. School of Surveying and Geo-informatics, Shandong Jianzhu University, Jinan 250102, China;
    2. Shandong Geovey Surveying Technology Co., Ltd., Jinan 250014, China;
    3. Shandong Zhengwei Survey and Mapping Co., Ltd., Jinan 250100, China
  • Received:2019-12-31 Online:2020-08-25 Published:2020-09-01

Abstract: The 3D modeling technology can realize the digital archiving of buildings and play an irreplaceable role in the protection and restoration of ancient buildings, the planning and reconstruction of modern buildings. Aiming at the problems of building models in oblique photogrammetry and 3D laser scanning modeling, this paper proposes a fine modeling method of building based on the fusion of obligue photogrammetry and 3D point cloud model generated by 3D laser scanning. Uav and 3D laser scanner are selected as experimental equipment. Point cloud stitching, production and editing are completed by ContextCapture and SCENE software. Point cloud fine matching is completed by ICP algorithm. And multi-source point cloud data fusion modeling is realized. Compared with the single modeling method model, the quality of the fusion modeling model is evaluated from the two aspects of texture structure and model accuracy. The results show that the fusion model has clear texture and intact geometric structure, and the mean error of the median distance and the mean error of the height difference of the model are both lower than that of the oblique photogrammetry model, which is close to the 3D laser scanning model.

Key words: oblique photography, 3D laser scanning, the ICP algorithm, point cloud matching, fusion modeling

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