Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting
This paper explores the influence of various camera settings on the quality of 3D reconstructions, particularly in indoor crime scene investigations. Utilizing Neural Radiance Fields (NeRF) and Gaussian Splatting for 3D reconstruction, we analyzed the impact of ISO, shutter speed, and aperture setti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/23/7594 |
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| author | Dimitar Rangelov Sierd Waanders Kars Waanders Maurice van Keulen Radoslav Miltchev |
| author_facet | Dimitar Rangelov Sierd Waanders Kars Waanders Maurice van Keulen Radoslav Miltchev |
| author_sort | Dimitar Rangelov |
| collection | DOAJ |
| description | This paper explores the influence of various camera settings on the quality of 3D reconstructions, particularly in indoor crime scene investigations. Utilizing Neural Radiance Fields (NeRF) and Gaussian Splatting for 3D reconstruction, we analyzed the impact of ISO, shutter speed, and aperture settings on the quality of the resulting 3D reconstructions. By conducting controlled experiments in a meeting room setup, we identified optimal settings that minimize noise and artifacts while maximizing detail and brightness. Our findings indicate that an ISO of 200, a shutter speed of 1/60 s, and an aperture of f/3.5 provide the best balance for high-quality 3D reconstructions. These settings are especially useful for forensic applications, architectural visualization, and cultural heritage preservation, offering practical guidelines for professionals in these fields. The study also highlights the potential for future research to expand on these findings by exploring other camera parameters and real-time adjustment techniques. |
| format | Article |
| id | doaj-art-e9959bd2467f4dd0bf40cf42351be063 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-e9959bd2467f4dd0bf40cf42351be0632025-08-20T01:55:27ZengMDPI AGSensors1424-82202024-11-012423759410.3390/s24237594Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian SplattingDimitar Rangelov0Sierd Waanders1Kars Waanders2Maurice van Keulen3Radoslav Miltchev4Technologies for Criminal Investigations, Saxion University of Applied Sciences, 7513 AB Enschede, The NetherlandsTechnologies for Criminal Investigations, Saxion University of Applied Sciences, 7513 AB Enschede, The NetherlandsTechnologies for Criminal Investigations, Saxion University of Applied Sciences, 7513 AB Enschede, The NetherlandsFaculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The NetherlandsFaculty of Industrial Technology, Technical University of Sofia, 1756 Sofia, BulgariaThis paper explores the influence of various camera settings on the quality of 3D reconstructions, particularly in indoor crime scene investigations. Utilizing Neural Radiance Fields (NeRF) and Gaussian Splatting for 3D reconstruction, we analyzed the impact of ISO, shutter speed, and aperture settings on the quality of the resulting 3D reconstructions. By conducting controlled experiments in a meeting room setup, we identified optimal settings that minimize noise and artifacts while maximizing detail and brightness. Our findings indicate that an ISO of 200, a shutter speed of 1/60 s, and an aperture of f/3.5 provide the best balance for high-quality 3D reconstructions. These settings are especially useful for forensic applications, architectural visualization, and cultural heritage preservation, offering practical guidelines for professionals in these fields. The study also highlights the potential for future research to expand on these findings by exploring other camera parameters and real-time adjustment techniques.https://www.mdpi.com/1424-8220/24/23/7594crime scene reconstruction3D reconstructionNeural Radiance Fieldscrime investigation3D scanner technologyforensic photogrammetry |
| spellingShingle | Dimitar Rangelov Sierd Waanders Kars Waanders Maurice van Keulen Radoslav Miltchev Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting Sensors crime scene reconstruction 3D reconstruction Neural Radiance Fields crime investigation 3D scanner technology forensic photogrammetry |
| title | Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting |
| title_full | Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting |
| title_fullStr | Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting |
| title_full_unstemmed | Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting |
| title_short | Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting |
| title_sort | impact of camera settings on 3d reconstruction quality insights from nerf and gaussian splatting |
| topic | crime scene reconstruction 3D reconstruction Neural Radiance Fields crime investigation 3D scanner technology forensic photogrammetry |
| url | https://www.mdpi.com/1424-8220/24/23/7594 |
| work_keys_str_mv | AT dimitarrangelov impactofcamerasettingson3dreconstructionqualityinsightsfromnerfandgaussiansplatting AT sierdwaanders impactofcamerasettingson3dreconstructionqualityinsightsfromnerfandgaussiansplatting AT karswaanders impactofcamerasettingson3dreconstructionqualityinsightsfromnerfandgaussiansplatting AT mauricevankeulen impactofcamerasettingson3dreconstructionqualityinsightsfromnerfandgaussiansplatting AT radoslavmiltchev impactofcamerasettingson3dreconstructionqualityinsightsfromnerfandgaussiansplatting |