Abstract
Over time, ancient buildings have remained in the natural environment for a long time, and damage often occurs. Therefore, in order to protect the cultural heritage of these materials, repair work is essential. Under this background, a three-dimensional construction method of complex curved surface of ancient buildings based on big data is proposed to complete the three-dimensional modeling of ancient buildings. The model construction is mainly divided into three steps: the first step uses LiDAR to obtain the LiDAR point cloud data and image data of the complex surface of the ancient building; the second step processes the data, including the processing of LiDAR point cloud data and the processing of image data; The method combines LiDAR point cloud data with image data to automatically generate a three-dimensional model of complex curved surface of ancient buildings. The results show that compared with the other two traditional methods, the accuracy of the method is higher, and the model coordinate points are closer to the real coordinates.
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Acknowledgements
(1) Research on the Classification, Conservation and Utilization of Historic buildings and blocks, supported by the Scientific Research Grant Project of institutions of higher Learning in Inner Mongolia Autonomous region (Project Plan No. NJZY18255).
(2) Research on adaptation Strategy of Rural Housing in Hohhot, a scientific research grant project for colleges and universities in Inner Mongolia Autonomous region (Project Plan No. NJZY18257).
(3) Study on the Conservation and Utilization in the Planning of Historic blocks in the Desert-Southern Mongolia area-taking Wulanchabu area as an example (Grant No: 18NDXT02).
This achievement is supported by the Cooperative Innovation Center for Cultural inheritance and Development of Mongolian and Northern Minority nationalities in Inner Mongolia Autonomous region.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qiao, E., Shang, D. (2019). Design of 3D Reconstruction Model of Complex Surfaces of Ancient Buildings Based on Big Data. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_39
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DOI: https://doi.org/10.1007/978-3-030-36402-1_39
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