Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm
The aim of the paper is to analyse the performance of the Neural Radiance Field (NeRF) algorithm, implemented in Instant-NGP software, for photogrammetric purposes. To achieve this aim, several datasets with different characteristics were analysed, taking into account object size, image acquisition...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Heritage |
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| Online Access: | https://www.mdpi.com/2571-9408/6/8/301 |
| _version_ | 1797584543628132352 |
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| author | Massimiliano Pepe Vincenzo Saverio Alfio Domenica Costantino |
| author_facet | Massimiliano Pepe Vincenzo Saverio Alfio Domenica Costantino |
| author_sort | Massimiliano Pepe |
| collection | DOAJ |
| description | The aim of the paper is to analyse the performance of the Neural Radiance Field (NeRF) algorithm, implemented in Instant-NGP software, for photogrammetric purposes. To achieve this aim, several datasets with different characteristics were analysed, taking into account object size, image acquisition technique and geometric configuration of the images. The NeRF algorithm proved to be effective in the construction of the 3D models; in other words, in Instant-NGP it was possible to obtain realistic 3D models in a detailed manner and very quickly, even in rather weak geometric configurations of the images. The performance obtained in the latter environment was compared with that achieved by two software packages, one widely used in the photogrammetric field, Agisoft Metashape, and one open source, Colmap. The comparison showed encouraging results in building 3D models, especially under weak geometry conditions; although, the geometric description of objects under point clouds or meshes needs improvement for use in the photogrammetric field. |
| first_indexed | 2024-03-10T23:54:10Z |
| format | Article |
| id | doaj.art-3f79946e4bb54e7fa7a6c6c9f8b06179 |
| institution | Directory Open Access Journal |
| issn | 2571-9408 |
| language | English |
| last_indexed | 2024-03-10T23:54:10Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Heritage |
| spelling | doaj.art-3f79946e4bb54e7fa7a6c6c9f8b061792023-11-19T01:20:11ZengMDPI AGHeritage2571-94082023-08-01685719573110.3390/heritage6080301Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF AlgorithmMassimiliano Pepe0Vincenzo Saverio Alfio1Domenica Costantino2Department of Engineering and Geology (InGeo), “G. d’Annunzio” University of Chieti-Pescara, Viale Pindaro 42, 65127 Pescara, ItalyDipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Polytechnic University of Bari, Via E. Orabona 4, 70125 Bari, ItalyDipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Polytechnic University of Bari, Via E. Orabona 4, 70125 Bari, ItalyThe aim of the paper is to analyse the performance of the Neural Radiance Field (NeRF) algorithm, implemented in Instant-NGP software, for photogrammetric purposes. To achieve this aim, several datasets with different characteristics were analysed, taking into account object size, image acquisition technique and geometric configuration of the images. The NeRF algorithm proved to be effective in the construction of the 3D models; in other words, in Instant-NGP it was possible to obtain realistic 3D models in a detailed manner and very quickly, even in rather weak geometric configurations of the images. The performance obtained in the latter environment was compared with that achieved by two software packages, one widely used in the photogrammetric field, Agisoft Metashape, and one open source, Colmap. The comparison showed encouraging results in building 3D models, especially under weak geometry conditions; although, the geometric description of objects under point clouds or meshes needs improvement for use in the photogrammetric field.https://www.mdpi.com/2571-9408/6/8/301NeRFphotogrammetryInstant-NGPSfM3D modelsC2C |
| spellingShingle | Massimiliano Pepe Vincenzo Saverio Alfio Domenica Costantino Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm Heritage NeRF photogrammetry Instant-NGP SfM 3D models C2C |
| title | Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm |
| title_full | Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm |
| title_fullStr | Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm |
| title_full_unstemmed | Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm |
| title_short | Assessment of 3D Model for Photogrammetric Purposes Using AI Tools Based on NeRF Algorithm |
| title_sort | assessment of 3d model for photogrammetric purposes using ai tools based on nerf algorithm |
| topic | NeRF photogrammetry Instant-NGP SfM 3D models C2C |
| url | https://www.mdpi.com/2571-9408/6/8/301 |
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