A Practical 3D Reconstruction Method for Weak Texture Scenes
In recent years, there has been a growing demand for 3D reconstructions of tunnel pits, underground pipe networks, and building interiors. For such scenarios, weak textures, repeated textures, or even no textures are common. To reconstruct these scenes, we propose covering the lighting sources with...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/16/3103 |
| _version_ | 1797522192186998784 |
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| author | Xuyuan Yang Guang Jiang |
| author_facet | Xuyuan Yang Guang Jiang |
| author_sort | Xuyuan Yang |
| collection | DOAJ |
| description | In recent years, there has been a growing demand for 3D reconstructions of tunnel pits, underground pipe networks, and building interiors. For such scenarios, weak textures, repeated textures, or even no textures are common. To reconstruct these scenes, we propose covering the lighting sources with films of spark patterns to “add” textures to the scenes. We use a calibrated camera to take pictures from multiple views and then utilize structure from motion (SFM) and multi-view stereo (MVS) algorithms to carry out a high-precision 3D reconstruction. To improve the effectiveness of our reconstruction, we combine deep learning algorithms with traditional methods to extract and match feature points. Our experiments have verified the feasibility and efficiency of the proposed method. |
| first_indexed | 2024-03-10T08:25:00Z |
| format | Article |
| id | doaj.art-031b4300e59b4f6f98ccb6523f9709bf |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T08:25:00Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-031b4300e59b4f6f98ccb6523f9709bf2023-11-22T09:31:54ZengMDPI AGRemote Sensing2072-42922021-08-011316310310.3390/rs13163103A Practical 3D Reconstruction Method for Weak Texture ScenesXuyuan Yang0Guang Jiang1School of Telecommunications Engineering, Xidian University, Xi’an 710071, ChinaSchool of Telecommunications Engineering, Xidian University, Xi’an 710071, ChinaIn recent years, there has been a growing demand for 3D reconstructions of tunnel pits, underground pipe networks, and building interiors. For such scenarios, weak textures, repeated textures, or even no textures are common. To reconstruct these scenes, we propose covering the lighting sources with films of spark patterns to “add” textures to the scenes. We use a calibrated camera to take pictures from multiple views and then utilize structure from motion (SFM) and multi-view stereo (MVS) algorithms to carry out a high-precision 3D reconstruction. To improve the effectiveness of our reconstruction, we combine deep learning algorithms with traditional methods to extract and match feature points. Our experiments have verified the feasibility and efficiency of the proposed method.https://www.mdpi.com/2072-4292/13/16/3103weak texturelighting sourcespark pattern3D reconstruction |
| spellingShingle | Xuyuan Yang Guang Jiang A Practical 3D Reconstruction Method for Weak Texture Scenes Remote Sensing weak texture lighting source spark pattern 3D reconstruction |
| title | A Practical 3D Reconstruction Method for Weak Texture Scenes |
| title_full | A Practical 3D Reconstruction Method for Weak Texture Scenes |
| title_fullStr | A Practical 3D Reconstruction Method for Weak Texture Scenes |
| title_full_unstemmed | A Practical 3D Reconstruction Method for Weak Texture Scenes |
| title_short | A Practical 3D Reconstruction Method for Weak Texture Scenes |
| title_sort | practical 3d reconstruction method for weak texture scenes |
| topic | weak texture lighting source spark pattern 3D reconstruction |
| url | https://www.mdpi.com/2072-4292/13/16/3103 |
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