A comprehensive research on light field imaging: Theory and application
Abstract Computational photography is a combination of novel optical designs and processing methods to capture high‐dimensional visual information. As an emerged promising technique, light field (LF) imaging measures the lighting, reflectance, focus, geometry and viewpoint in the free space, which h...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12321 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846101871378300928 |
|---|---|
| author | Fei Liu Yunlong Wang Qing Yang Shubo Zhou Kunbo Zhang |
| author_facet | Fei Liu Yunlong Wang Qing Yang Shubo Zhou Kunbo Zhang |
| author_sort | Fei Liu |
| collection | DOAJ |
| description | Abstract Computational photography is a combination of novel optical designs and processing methods to capture high‐dimensional visual information. As an emerged promising technique, light field (LF) imaging measures the lighting, reflectance, focus, geometry and viewpoint in the free space, which has been widely explored for depth estimation, view synthesis, refocus, rendering, 3D displays, microscopy and other applications in computer vision in the past decades. In this paper, the authors present a comprehensive research survey on the LF imaging theory, technology and application. Firstly, the LF imaging process based on a MicroLens Array structure is derived, that is MLA‐LF. Subsequently, the innovations of LF imaging technology are presented in terms of the imaging prototype, consumer LF camera and LF displays in Virtual Reality (VR) and Augmented Reality (AR). Finally the applications and challenges of LF imaging integrating with deep learning models are analysed, which consist of depth estimation, saliency detection, semantic segmentation, de‐occlusion and defocus deblurring in recent years. It is believed that this paper will be a good reference for the future research on LF imaging technology in Artificial Intelligence era. |
| format | Article |
| id | doaj-art-cdbf22afee7541f8ab6b84603f8904d5 |
| institution | Kabale University |
| issn | 1751-9632 1751-9640 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj-art-cdbf22afee7541f8ab6b84603f8904d52024-12-28T11:01:57ZengWileyIET Computer Vision1751-96321751-96402024-12-011881269128410.1049/cvi2.12321A comprehensive research on light field imaging: Theory and applicationFei Liu0Yunlong Wang1Qing Yang2Shubo Zhou3Kunbo Zhang4School of Management and Engineering Capital University of Economics and Business Beijing ChinaNew Laboratory of Pattern Recognition (NLPR), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) Institute of Automation Chinese Academy of Sciences Beijing ChinaSchool of Management and Engineering Capital University of Economics and Business Beijing ChinaCollege of Information Science and Technology Donghua University Shanghai ChinaNew Laboratory of Pattern Recognition (NLPR), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) Institute of Automation Chinese Academy of Sciences Beijing ChinaAbstract Computational photography is a combination of novel optical designs and processing methods to capture high‐dimensional visual information. As an emerged promising technique, light field (LF) imaging measures the lighting, reflectance, focus, geometry and viewpoint in the free space, which has been widely explored for depth estimation, view synthesis, refocus, rendering, 3D displays, microscopy and other applications in computer vision in the past decades. In this paper, the authors present a comprehensive research survey on the LF imaging theory, technology and application. Firstly, the LF imaging process based on a MicroLens Array structure is derived, that is MLA‐LF. Subsequently, the innovations of LF imaging technology are presented in terms of the imaging prototype, consumer LF camera and LF displays in Virtual Reality (VR) and Augmented Reality (AR). Finally the applications and challenges of LF imaging integrating with deep learning models are analysed, which consist of depth estimation, saliency detection, semantic segmentation, de‐occlusion and defocus deblurring in recent years. It is believed that this paper will be a good reference for the future research on LF imaging technology in Artificial Intelligence era.https://doi.org/10.1049/cvi2.12321camerasimage captureimage processingimage sampling |
| spellingShingle | Fei Liu Yunlong Wang Qing Yang Shubo Zhou Kunbo Zhang A comprehensive research on light field imaging: Theory and application IET Computer Vision cameras image capture image processing image sampling |
| title | A comprehensive research on light field imaging: Theory and application |
| title_full | A comprehensive research on light field imaging: Theory and application |
| title_fullStr | A comprehensive research on light field imaging: Theory and application |
| title_full_unstemmed | A comprehensive research on light field imaging: Theory and application |
| title_short | A comprehensive research on light field imaging: Theory and application |
| title_sort | comprehensive research on light field imaging theory and application |
| topic | cameras image capture image processing image sampling |
| url | https://doi.org/10.1049/cvi2.12321 |
| work_keys_str_mv | AT feiliu acomprehensiveresearchonlightfieldimagingtheoryandapplication AT yunlongwang acomprehensiveresearchonlightfieldimagingtheoryandapplication AT qingyang acomprehensiveresearchonlightfieldimagingtheoryandapplication AT shubozhou acomprehensiveresearchonlightfieldimagingtheoryandapplication AT kunbozhang acomprehensiveresearchonlightfieldimagingtheoryandapplication AT feiliu comprehensiveresearchonlightfieldimagingtheoryandapplication AT yunlongwang comprehensiveresearchonlightfieldimagingtheoryandapplication AT qingyang comprehensiveresearchonlightfieldimagingtheoryandapplication AT shubozhou comprehensiveresearchonlightfieldimagingtheoryandapplication AT kunbozhang comprehensiveresearchonlightfieldimagingtheoryandapplication |