Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes
In this paper, an automatic building extraction process based on MVS point clouds is proposed to automatically extract building point clouds from urban MVS dense point clouds of complex scenes by projection, morphological expansion and contour extraction techniques. Aiming at the deficiency of Poiss...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01060 |
| _version_ | 1797340599390568448 |
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| author | Ji Hongfang Bao Runbiao Zhang Yimiao |
| author_facet | Ji Hongfang Bao Runbiao Zhang Yimiao |
| author_sort | Ji Hongfang |
| collection | DOAJ |
| description | In this paper, an automatic building extraction process based on MVS point clouds is proposed to automatically extract building point clouds from urban MVS dense point clouds of complex scenes by projection, morphological expansion and contour extraction techniques. Aiming at the deficiency of Poisson surface reconstruction, this paper proposes a surface model optimization method based on RANSAC fast fitting. The method generates the optimized surface model through the filter denoising process and chunked RANSAC fast fitting. Finally, a workflow for the 3D reconstruction of urban buildings based on the MVS point cloud is proposed. In the analysis for the urban 3D modeling technique, the average error of the model after reconstruction is only 0.731%, and the measurement errors in the three-dimensional directions of length, width, and height are less than 5 cm. and the time consumed before and after the optimized method in this paper is reduced by an average of 3.09 s. Therefore, this study provides a simple and efficient method for the automatic extraction and 3D reconstruction of urban buildings. |
| first_indexed | 2024-03-08T10:05:31Z |
| format | Article |
| id | doaj.art-26066f9a568147b2aabf8e5e8b8f816b |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:05:31Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-26066f9a568147b2aabf8e5e8b8f816b2024-01-29T08:52:39ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01060Research and Application of Urban 3D Modeling Technology in Virtual Reality ScenesJi Hongfang0Bao Runbiao1Zhang Yimiao21Department of Information Engineering, Jiangxi Water Resources Institute, Nanchang, Jiangxi, 330010, China.2School of Civil Engineering, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, 330010, China.1Department of Information Engineering, Jiangxi Water Resources Institute, Nanchang, Jiangxi, 330010, China.In this paper, an automatic building extraction process based on MVS point clouds is proposed to automatically extract building point clouds from urban MVS dense point clouds of complex scenes by projection, morphological expansion and contour extraction techniques. Aiming at the deficiency of Poisson surface reconstruction, this paper proposes a surface model optimization method based on RANSAC fast fitting. The method generates the optimized surface model through the filter denoising process and chunked RANSAC fast fitting. Finally, a workflow for the 3D reconstruction of urban buildings based on the MVS point cloud is proposed. In the analysis for the urban 3D modeling technique, the average error of the model after reconstruction is only 0.731%, and the measurement errors in the three-dimensional directions of length, width, and height are less than 5 cm. and the time consumed before and after the optimized method in this paper is reduced by an average of 3.09 s. Therefore, this study provides a simple and efficient method for the automatic extraction and 3D reconstruction of urban buildings.https://doi.org/10.2478/amns.2023.2.01060mvs point cloudpoisson surface reconstructionransac fast fitting3d modelingcontour extraction68t05 |
| spellingShingle | Ji Hongfang Bao Runbiao Zhang Yimiao Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes Applied Mathematics and Nonlinear Sciences mvs point cloud poisson surface reconstruction ransac fast fitting 3d modeling contour extraction 68t05 |
| title | Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes |
| title_full | Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes |
| title_fullStr | Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes |
| title_full_unstemmed | Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes |
| title_short | Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes |
| title_sort | research and application of urban 3d modeling technology in virtual reality scenes |
| topic | mvs point cloud poisson surface reconstruction ransac fast fitting 3d modeling contour extraction 68t05 |
| url | https://doi.org/10.2478/amns.2023.2.01060 |
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