A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces
Three-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. To address th...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/12/1/27 |
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| author | Xiang Sun Zhenjun Luo Shizhao Wang Jianhua Wang Yunpeng Zhang Dandan Zou |
| author_facet | Xiang Sun Zhenjun Luo Shizhao Wang Jianhua Wang Yunpeng Zhang Dandan Zou |
| author_sort | Xiang Sun |
| collection | DOAJ |
| description | Three-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. To address this issue, this paper proposes a simple 3D reconstruction method, which combines the features of non-overexposed regions in polarized and unpolarized images to improve the reconstruction quality of HDR surface objects. The optimum fringe regions are extracted from images with different polarization angles, and the non-overexposed regions in normally captured unpolarized images typically contain complete fringe information and are less affected by specular highlights. The optimal fringe information from different polarized image groups is gradually used to replace the incorrect fringe information in the unpolarized image, resulting in a complete set of fringe data. Experimental results show that the proposed method requires only 24~36 images and simple phase fusion to achieve successful 3D reconstruction. It can effectively mitigate the negative impact of overexposed regions on absolute phase calculation and 3D reconstruction when reconstructing objects with strongly reflective surfaces. |
| format | Article |
| id | doaj-art-bafc2dc6b9404672938cebc4a6abcdc1 |
| institution | Kabale University |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-bafc2dc6b9404672938cebc4a6abcdc12025-01-24T13:46:14ZengMDPI AGPhotonics2304-67322024-12-011212710.3390/photonics12010027A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range SurfacesXiang Sun0Zhenjun Luo1Shizhao Wang2Jianhua Wang3Yunpeng Zhang4Dandan Zou5School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaThree-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. To address this issue, this paper proposes a simple 3D reconstruction method, which combines the features of non-overexposed regions in polarized and unpolarized images to improve the reconstruction quality of HDR surface objects. The optimum fringe regions are extracted from images with different polarization angles, and the non-overexposed regions in normally captured unpolarized images typically contain complete fringe information and are less affected by specular highlights. The optimal fringe information from different polarized image groups is gradually used to replace the incorrect fringe information in the unpolarized image, resulting in a complete set of fringe data. Experimental results show that the proposed method requires only 24~36 images and simple phase fusion to achieve successful 3D reconstruction. It can effectively mitigate the negative impact of overexposed regions on absolute phase calculation and 3D reconstruction when reconstructing objects with strongly reflective surfaces.https://www.mdpi.com/2304-6732/12/1/27high dynamic rangethree-dimensional reconstructionpolarized imageunpolarized imagephase fusionabsolute phase |
| spellingShingle | Xiang Sun Zhenjun Luo Shizhao Wang Jianhua Wang Yunpeng Zhang Dandan Zou A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces Photonics high dynamic range three-dimensional reconstruction polarized image unpolarized image phase fusion absolute phase |
| title | A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces |
| title_full | A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces |
| title_fullStr | A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces |
| title_full_unstemmed | A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces |
| title_short | A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces |
| title_sort | simple polarization based fringe projection profilometry method for three dimensional reconstruction of high dynamic range surfaces |
| topic | high dynamic range three-dimensional reconstruction polarized image unpolarized image phase fusion absolute phase |
| url | https://www.mdpi.com/2304-6732/12/1/27 |
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