Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method
To accurately reconstruct the three-dimensional (3D) surface of dynamic objects, we proposed a wrapped phase extraction method for spatiotemporal analysis based on 3D wavelet transform (WT). Our proposed method uses a 2D spatial fringe image combined with the time dimension and forms a 3D image sequ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/3/535 |
| _version_ | 1797624839821852672 |
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| author | Xiaoliang Meng Fuzhen Sun Liye Zhang Chao Fang Xiaoyu Wang |
| author_facet | Xiaoliang Meng Fuzhen Sun Liye Zhang Chao Fang Xiaoyu Wang |
| author_sort | Xiaoliang Meng |
| collection | DOAJ |
| description | To accurately reconstruct the three-dimensional (3D) surface of dynamic objects, we proposed a wrapped phase extraction method for spatiotemporal analysis based on 3D wavelet transform (WT). Our proposed method uses a 2D spatial fringe image combined with the time dimension and forms a 3D image sequence. The encoded fringe image sequence’s wrapped phase information was extracted by 3D WT and complex Morlet wavelet, and we improved the wrapped phase extraction’s accuracy by using the characteristics of spatiotemporal analysis and a multi-scale analysis of 3D WT, then we reconstructed the measured object by wrapped phase unwrapping and phase height transformation. Our simulation experiment results show that our proposed method can further filter the noise in the time dimension, and its accuracy is better than that of the one- (1D) and two-dimensional (2D) WT wrapped phase extraction method and the 3D Fourier transform wrapped phase extraction method because the reconstructed spherical crown’s RMSE value does not exceed 0.25 and the PVE value is less than 0.95. Our results show that the proposed method can be applied to the dynamic 3D reconstruction of a real human thoracic and abdominal surface, which fluctuates slowly with respiration movement, further verifying its effectiveness. |
| first_indexed | 2024-03-11T09:48:22Z |
| format | Article |
| id | doaj.art-ba3e340f2e154e6e990f209f11ec365f |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T09:48:22Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-ba3e340f2e154e6e990f209f11ec365f2023-11-16T16:27:51ZengMDPI AGElectronics2079-92922023-01-0112353510.3390/electronics12030535Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis MethodXiaoliang Meng0Fuzhen Sun1Liye Zhang2Chao Fang3Xiaoyu Wang4School of Computer Science and Technology, Shandong University of Technology, Zibo 255000, Shandong, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo 255000, Shandong, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo 255000, Shandong, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo 255000, Shandong, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo 255000, Shandong, ChinaTo accurately reconstruct the three-dimensional (3D) surface of dynamic objects, we proposed a wrapped phase extraction method for spatiotemporal analysis based on 3D wavelet transform (WT). Our proposed method uses a 2D spatial fringe image combined with the time dimension and forms a 3D image sequence. The encoded fringe image sequence’s wrapped phase information was extracted by 3D WT and complex Morlet wavelet, and we improved the wrapped phase extraction’s accuracy by using the characteristics of spatiotemporal analysis and a multi-scale analysis of 3D WT, then we reconstructed the measured object by wrapped phase unwrapping and phase height transformation. Our simulation experiment results show that our proposed method can further filter the noise in the time dimension, and its accuracy is better than that of the one- (1D) and two-dimensional (2D) WT wrapped phase extraction method and the 3D Fourier transform wrapped phase extraction method because the reconstructed spherical crown’s RMSE value does not exceed 0.25 and the PVE value is less than 0.95. Our results show that the proposed method can be applied to the dynamic 3D reconstruction of a real human thoracic and abdominal surface, which fluctuates slowly with respiration movement, further verifying its effectiveness.https://www.mdpi.com/2079-9292/12/3/535three-dimensional wavelet transformspatiotemporal analysiscomplex Morlet waveletwrapped phase extractionthree-dimensional reconstruction |
| spellingShingle | Xiaoliang Meng Fuzhen Sun Liye Zhang Chao Fang Xiaoyu Wang Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method Electronics three-dimensional wavelet transform spatiotemporal analysis complex Morlet wavelet wrapped phase extraction three-dimensional reconstruction |
| title | Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method |
| title_full | Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method |
| title_fullStr | Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method |
| title_full_unstemmed | Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method |
| title_short | Visual Three-Dimensional Reconstruction Based on Spatiotemporal Analysis Method |
| title_sort | visual three dimensional reconstruction based on spatiotemporal analysis method |
| topic | three-dimensional wavelet transform spatiotemporal analysis complex Morlet wavelet wrapped phase extraction three-dimensional reconstruction |
| url | https://www.mdpi.com/2079-9292/12/3/535 |
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