Learning-based 3D imaging from single structured-light image
Integrating structured-light technique with deep learning for single-shot 3D imaging has recently gained enormous attention due to its unprecedented robustness. This paper presents an innovative technique of supervised learning-based 3D imaging from a single grayscale structured-light image. The pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | Graphical Models |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1524070323000024 |
| _version_ | 1827909350608338944 |
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| author | Andrew-Hieu Nguyen Olivia Rees Zhaoyang Wang |
| author_facet | Andrew-Hieu Nguyen Olivia Rees Zhaoyang Wang |
| author_sort | Andrew-Hieu Nguyen |
| collection | DOAJ |
| description | Integrating structured-light technique with deep learning for single-shot 3D imaging has recently gained enormous attention due to its unprecedented robustness. This paper presents an innovative technique of supervised learning-based 3D imaging from a single grayscale structured-light image. The proposed approach uses a single-input, double-output convolutional neural network to transform a regular fringe-pattern image into two intermediate quantities which facilitate the subsequent 3D image reconstruction with high accuracy. A few experiments have been conducted to demonstrate the validity and robustness of the proposed technique. |
| first_indexed | 2024-03-13T01:36:53Z |
| format | Article |
| id | doaj.art-68f94cced7aa4a7baa9a0ac6f2934727 |
| institution | Directory Open Access Journal |
| issn | 1524-0703 |
| language | English |
| last_indexed | 2024-03-13T01:36:53Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Graphical Models |
| spelling | doaj.art-68f94cced7aa4a7baa9a0ac6f29347272023-07-04T05:09:40ZengElsevierGraphical Models1524-07032023-04-01126101171Learning-based 3D imaging from single structured-light imageAndrew-Hieu Nguyen0Olivia Rees1Zhaoyang Wang2Department of Mechanical Engineering, The Catholic University of America, Washington, DC 20064, USA; Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USADepartment of Mechanical Engineering, The Catholic University of America, Washington, DC 20064, USADepartment of Mechanical Engineering, The Catholic University of America, Washington, DC 20064, USA; Corresponding author.Integrating structured-light technique with deep learning for single-shot 3D imaging has recently gained enormous attention due to its unprecedented robustness. This paper presents an innovative technique of supervised learning-based 3D imaging from a single grayscale structured-light image. The proposed approach uses a single-input, double-output convolutional neural network to transform a regular fringe-pattern image into two intermediate quantities which facilitate the subsequent 3D image reconstruction with high accuracy. A few experiments have been conducted to demonstrate the validity and robustness of the proposed technique.http://www.sciencedirect.com/science/article/pii/S1524070323000024Three-dimensional image acquisitionThree-dimensional sensingSingle-shot imagingStructured lightFringe-to-phase transformationDeep learning |
| spellingShingle | Andrew-Hieu Nguyen Olivia Rees Zhaoyang Wang Learning-based 3D imaging from single structured-light image Graphical Models Three-dimensional image acquisition Three-dimensional sensing Single-shot imaging Structured light Fringe-to-phase transformation Deep learning |
| title | Learning-based 3D imaging from single structured-light image |
| title_full | Learning-based 3D imaging from single structured-light image |
| title_fullStr | Learning-based 3D imaging from single structured-light image |
| title_full_unstemmed | Learning-based 3D imaging from single structured-light image |
| title_short | Learning-based 3D imaging from single structured-light image |
| title_sort | learning based 3d imaging from single structured light image |
| topic | Three-dimensional image acquisition Three-dimensional sensing Single-shot imaging Structured light Fringe-to-phase transformation Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S1524070323000024 |
| work_keys_str_mv | AT andrewhieunguyen learningbased3dimagingfromsinglestructuredlightimage AT oliviarees learningbased3dimagingfromsinglestructuredlightimage AT zhaoyangwang learningbased3dimagingfromsinglestructuredlightimage |