A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System
The traditional light-field coding algorithm used in a multi-projector-type light-field display system requires sophisticated and complex three-dimensional modeling processes or parallax images obtained through dense capture. Here we propose an algorithm based on target pixel matching, which directl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/10/2/223 |
| _version_ | 1797618615117152256 |
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| author | Qingyu Meng Haiyang Yu Xiaoyu Jiang Xinzhu Sang |
| author_facet | Qingyu Meng Haiyang Yu Xiaoyu Jiang Xinzhu Sang |
| author_sort | Qingyu Meng |
| collection | DOAJ |
| description | The traditional light-field coding algorithm used in a multi-projector-type light-field display system requires sophisticated and complex three-dimensional modeling processes or parallax images obtained through dense capture. Here we propose an algorithm based on target pixel matching, which directly uses parallax images without a complex modeling process, and can achieve a more accurate light-field reconstruction effect under sparse capture conditions. For the lack of capture information caused by sparse capture, this algorithm compares the pixel similarity of the captured images of the same object point on different cameras to accurately determine the real capture information of the object point at different depths, which is recorded as the target pixel, and then the target pixel is encoded according to the lighting path to obtain the correct projector image array (PIA). By comparing the quality of PIAs generated by the traditional light-field coding algorithm and the display effect after loading the PIAs into the actual display system, we proved the effectiveness of the algorithm. |
| first_indexed | 2024-03-11T08:16:04Z |
| format | Article |
| id | doaj.art-a9144ad9362f40a5bac13eeb65857d32 |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-11T08:16:04Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-a9144ad9362f40a5bac13eeb65857d322023-11-16T22:46:03ZengMDPI AGPhotonics2304-67322023-02-0110222310.3390/photonics10020223A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display SystemQingyu Meng0Haiyang Yu1Xiaoyu Jiang2Xinzhu Sang3State Key Laboratory of Information Photonics and Optical Communication, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaArmy Academy of Armored Forces, Beijing 100072, ChinaArmy Academy of Armored Forces, Beijing 100072, ChinaState Key Laboratory of Information Photonics and Optical Communication, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaThe traditional light-field coding algorithm used in a multi-projector-type light-field display system requires sophisticated and complex three-dimensional modeling processes or parallax images obtained through dense capture. Here we propose an algorithm based on target pixel matching, which directly uses parallax images without a complex modeling process, and can achieve a more accurate light-field reconstruction effect under sparse capture conditions. For the lack of capture information caused by sparse capture, this algorithm compares the pixel similarity of the captured images of the same object point on different cameras to accurately determine the real capture information of the object point at different depths, which is recorded as the target pixel, and then the target pixel is encoded according to the lighting path to obtain the correct projector image array (PIA). By comparing the quality of PIAs generated by the traditional light-field coding algorithm and the display effect after loading the PIAs into the actual display system, we proved the effectiveness of the algorithm.https://www.mdpi.com/2304-6732/10/2/223light-field coding algorithmsparse capturemulti-projector-type light-field display systemprojector image array |
| spellingShingle | Qingyu Meng Haiyang Yu Xiaoyu Jiang Xinzhu Sang A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System Photonics light-field coding algorithm sparse capture multi-projector-type light-field display system projector image array |
| title | A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System |
| title_full | A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System |
| title_fullStr | A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System |
| title_full_unstemmed | A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System |
| title_short | A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System |
| title_sort | sparse capture light field coding algorithm based on target pixel matching for a multi projector type light field display system |
| topic | light-field coding algorithm sparse capture multi-projector-type light-field display system projector image array |
| url | https://www.mdpi.com/2304-6732/10/2/223 |
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