PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES
Iconographic image collections are a cultural heritage that could reach a larger audience by proposing their immersive presentation in a 3D web application. Proposing a historical street view application, based on these historical images, raises issues such as the unavailability of historical 3D mod...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-05-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2022/213/2022/isprs-annals-V-4-2022-213-2022.pdf |
| _version_ | 1818211621485412352 |
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| author | M. S. Gomes de Castro M. S. Gomes de Castro M. Brédif |
| author_facet | M. S. Gomes de Castro M. S. Gomes de Castro M. Brédif |
| author_sort | M. S. Gomes de Castro |
| collection | DOAJ |
| description | Iconographic image collections are a cultural heritage that could reach a larger audience by proposing their immersive presentation in a 3D web application. Proposing a historical street view application, based on these historical images, raises issues such as the unavailability of historical 3D models of the scene and the heterogeneity and sparsity of these photographs. We propose to use the 3D city and terrain models of the current scene, as well as a 3D point cloud if available, to simultaneously reproject and blend many historical images using an image-based rendering approach. Our contributions raise significantly the number of projective textures blended per rendering pass (typically from 8 to 40) on triangular meshes (of the 3D city and terrain models) and on point clouds. As a first step to tackle diachrony artifacts, we also propose a simple point cloud classification to filter in the shader the points corresponding to building or terrain details from the points corresponding to transient objects. |
| first_indexed | 2024-12-12T05:35:25Z |
| format | Article |
| id | doaj.art-dccf547688c44def8e16a52713b880d2 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-12T05:35:25Z |
| publishDate | 2022-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-dccf547688c44def8e16a52713b880d22022-12-22T00:36:11ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502022-05-01V-4-202221321810.5194/isprs-annals-V-4-2022-213-2022PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGESM. S. Gomes de Castro0M. S. Gomes de Castro1M. Brédif2Ecole Polytechnique, IP Paris, 91120 FranceLASTIG, Univ Gustave Eiffel, IGN, ENSG, 94165 FranceLASTIG, Univ Gustave Eiffel, IGN, ENSG, 94165 FranceIconographic image collections are a cultural heritage that could reach a larger audience by proposing their immersive presentation in a 3D web application. Proposing a historical street view application, based on these historical images, raises issues such as the unavailability of historical 3D models of the scene and the heterogeneity and sparsity of these photographs. We propose to use the 3D city and terrain models of the current scene, as well as a 3D point cloud if available, to simultaneously reproject and blend many historical images using an image-based rendering approach. Our contributions raise significantly the number of projective textures blended per rendering pass (typically from 8 to 40) on triangular meshes (of the 3D city and terrain models) and on point clouds. As a first step to tackle diachrony artifacts, we also propose a simple point cloud classification to filter in the shader the points corresponding to building or terrain details from the points corresponding to transient objects.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2022/213/2022/isprs-annals-V-4-2022-213-2022.pdf |
| spellingShingle | M. S. Gomes de Castro M. S. Gomes de Castro M. Brédif PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES |
| title_full | PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES |
| title_fullStr | PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES |
| title_full_unstemmed | PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES |
| title_short | PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES |
| title_sort | projective multitexturing of current 3d city models and point clouds with many historical images |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2022/213/2022/isprs-annals-V-4-2022-213-2022.pdf |
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