Geometry Reconstruction from Images (2nd Edition)
Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, q...
Sparad:
| Materialtyp: | Online |
|---|---|
| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
|
| Ämnen: | |
| Länkar: | ONIX_20260416T142754_9783725860135_25 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|
| _version_ | 1869525327577874432 |
|---|---|
| collection | Directory of Open Access Books |
| description | Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, quality in engineering production, video-based security, or 3D modeling in gaming applications or movies. Yet, reconstructing a representation of a scene observed through a camera remains a challenging aspect in general, and the specific question of producing a (static or dynamic) geometric model has led to decades of research and still corresponds to a very active scientific domain. Sensors are continuously evolving, bringing more and more accuracy, resolution, and new opportunities for reconstructing objects’ shapes and/or detailed geometric variations. This second issue is dedicated to 3D reconstruction from images, for which machine learning has brought interesting reconstruction methods, with approaches such as NeRFs or Gaussian splatting. Some specific aspects are also addressed, with in-depth fundamental research, such as the management of specular surfaces or accuracy issues in underwater environments. The 11 articles published in this second edition tackle several very interesting challenges: reconstructions of objects known for their complexity, underwater environments where distortions make depth estimation difficult, interactive systems and dynamic scenes, analyses of existing reconstruction techniques, and deep learning approaches. |
| format | Online |
| id | doab-20.500.12854ir-175070 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750702026-04-16T18:46:43Z Geometry Reconstruction from Images (2nd Edition) Meneveaux, Daniel Geometry from images and videos Reconstruction from 3D images Reconstruction from time of flight sensors Reconstruction from multispectral images Reconstruction from lightfield cameras Multiview reconstruction Photometric stereo Epipolar geometry Space carving and coloring Differential geometry thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Recovering 3D content from images has been a tremendous source of research advances, with many different focuses, targeted applications, needs, or scientific starting points. A wide range of existing approaches nowadays are employed in the industry for many considerations, including, for instance, quality in engineering production, video-based security, or 3D modeling in gaming applications or movies. Yet, reconstructing a representation of a scene observed through a camera remains a challenging aspect in general, and the specific question of producing a (static or dynamic) geometric model has led to decades of research and still corresponds to a very active scientific domain. Sensors are continuously evolving, bringing more and more accuracy, resolution, and new opportunities for reconstructing objects’ shapes and/or detailed geometric variations. This second issue is dedicated to 3D reconstruction from images, for which machine learning has brought interesting reconstruction methods, with approaches such as NeRFs or Gaussian splatting. Some specific aspects are also addressed, with in-depth fundamental research, such as the management of specular surfaces or accuracy issues in underwater environments. The 11 articles published in this second edition tackle several very interesting challenges: reconstructions of objects known for their complexity, underwater environments where distortions make depth estimation difficult, interactive systems and dynamic scenes, analyses of existing reconstruction techniques, and deep learning approaches. 2026-04-16T18:46:36Z 2026-04-16T18:46:36Z 2025 book ONIX_20260416T142754_9783725860135_25 9783725860135 9783725860142 https://directory.doabooks.org/handle/20.500.12854/175070 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11973 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6014-2 10.3390/books978-3-7258-6014-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725860135 9783725860142 212 CH open access |
| spellingShingle | Geometry from images and videos Reconstruction from 3D images Reconstruction from time of flight sensors Reconstruction from multispectral images Reconstruction from lightfield cameras Multiview reconstruction Photometric stereo Epipolar geometry Space carving and coloring Differential geometry thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Geometry Reconstruction from Images (2nd Edition) |
| title | Geometry Reconstruction from Images (2nd Edition) |
| title_full | Geometry Reconstruction from Images (2nd Edition) |
| title_fullStr | Geometry Reconstruction from Images (2nd Edition) |
| title_full_unstemmed | Geometry Reconstruction from Images (2nd Edition) |
| title_short | Geometry Reconstruction from Images (2nd Edition) |
| title_sort | geometry reconstruction from images 2nd edition |
| topic | Geometry from images and videos Reconstruction from 3D images Reconstruction from time of flight sensors Reconstruction from multispectral images Reconstruction from lightfield cameras Multiview reconstruction Photometric stereo Epipolar geometry Space carving and coloring Differential geometry thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Geometry from images and videos Reconstruction from 3D images Reconstruction from time of flight sensors Reconstruction from multispectral images Reconstruction from lightfield cameras Multiview reconstruction Photometric stereo Epipolar geometry Space carving and coloring Differential geometry thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725860135_25 |