3D reconstruction of spherical images: a review of techniques, applications, and prospects
3D reconstruction plays an increasingly important role in modern photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) platforms can provide the necessary data sources for the 3D reconstruction of large-scale landforms and cities. Even with low-altitude Unmanned Aerial...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-11-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2313328 |
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| _version_ | 1850247513194364928 |
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| author | San Jiang Kan You Yaxin Li Duojie Weng Wu Chen |
| author_facet | San Jiang Kan You Yaxin Li Duojie Weng Wu Chen |
| author_sort | San Jiang |
| collection | DOAJ |
| description | 3D reconstruction plays an increasingly important role in modern photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) platforms can provide the necessary data sources for the 3D reconstruction of large-scale landforms and cities. Even with low-altitude Unmanned Aerial Vehicles (UAVs), 3D reconstruction in complicated situations, such as urban canyons and indoor scenes, is challenging due to frequent tracking failures between camera frames and high data collection costs. Recently, spherical images have been extensively used due to the capability of recording surrounding environments from one image. In contrast to perspective images with limited Field of View (FOV), spherical images can cover the whole scene with full horizontal and vertical FOV and facilitate camera tracking and data acquisition in these complex scenes. With the rapid evolution and extensive use of professional and consumer-grade spherical cameras, spherical images show great potential for the 3D modeling of urban and indoor scenes. Classical 3D reconstruction pipelines, however, cannot be directly used for spherical images. Besides, there exist few software packages that are designed for the 3D reconstruction from spherical images. As a result, this research provides a thorough survey of the state-of-the-art for 3D reconstruction from spherical images in terms of data acquisition, feature detection and matching, image orientation, and dense matching as well as presenting promising applications and discussing potential prospects. We anticipate that this study offers insightful clues to direct future research. |
| format | Article |
| id | doaj-art-1216aa5671e246ea86afadfae449a738 |
| institution | OA Journals |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-1216aa5671e246ea86afadfae449a7382025-08-20T01:58:55ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532024-11-012761959198810.1080/10095020.2024.23133283D reconstruction of spherical images: a review of techniques, applications, and prospectsSan Jiang0Kan You1Yaxin Li2Duojie Weng3Wu Chen4School of Computer Science, China University of Geosciences, Wuhan, ChinaSchool of Computer Science, China University of Geosciences, Wuhan, ChinaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, ChinaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, ChinaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China3D reconstruction plays an increasingly important role in modern photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) platforms can provide the necessary data sources for the 3D reconstruction of large-scale landforms and cities. Even with low-altitude Unmanned Aerial Vehicles (UAVs), 3D reconstruction in complicated situations, such as urban canyons and indoor scenes, is challenging due to frequent tracking failures between camera frames and high data collection costs. Recently, spherical images have been extensively used due to the capability of recording surrounding environments from one image. In contrast to perspective images with limited Field of View (FOV), spherical images can cover the whole scene with full horizontal and vertical FOV and facilitate camera tracking and data acquisition in these complex scenes. With the rapid evolution and extensive use of professional and consumer-grade spherical cameras, spherical images show great potential for the 3D modeling of urban and indoor scenes. Classical 3D reconstruction pipelines, however, cannot be directly used for spherical images. Besides, there exist few software packages that are designed for the 3D reconstruction from spherical images. As a result, this research provides a thorough survey of the state-of-the-art for 3D reconstruction from spherical images in terms of data acquisition, feature detection and matching, image orientation, and dense matching as well as presenting promising applications and discussing potential prospects. We anticipate that this study offers insightful clues to direct future research.https://www.tandfonline.com/doi/10.1080/10095020.2024.2313328Spherical imageequirectangular projection3D reconstructionstructure from motionsimultaneous localization and mappingdense matching |
| spellingShingle | San Jiang Kan You Yaxin Li Duojie Weng Wu Chen 3D reconstruction of spherical images: a review of techniques, applications, and prospects Geo-spatial Information Science Spherical image equirectangular projection 3D reconstruction structure from motion simultaneous localization and mapping dense matching |
| title | 3D reconstruction of spherical images: a review of techniques, applications, and prospects |
| title_full | 3D reconstruction of spherical images: a review of techniques, applications, and prospects |
| title_fullStr | 3D reconstruction of spherical images: a review of techniques, applications, and prospects |
| title_full_unstemmed | 3D reconstruction of spherical images: a review of techniques, applications, and prospects |
| title_short | 3D reconstruction of spherical images: a review of techniques, applications, and prospects |
| title_sort | 3d reconstruction of spherical images a review of techniques applications and prospects |
| topic | Spherical image equirectangular projection 3D reconstruction structure from motion simultaneous localization and mapping dense matching |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2024.2313328 |
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