Evidence map›Paper›PMID 39686130›Full record

ArticleSensors (Basel, Switzerland)2024

Impact of Camera Settings on 3D Reconstruction Quality: Insights from NeRF and Gaussian Splatting.

Dimitar Rangelov, Sierd Waanders, Kars Waanders, Maurice van Keulen, Radoslav Miltchev

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dimitar RangelovTechnologies for Criminal Investigations, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands.ORCID 0009-0005-8511-1555
Sierd WaandersTechnologies for Criminal Investigations, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands.ORCID 0009-0003-7457-4322
Kars WaandersTechnologies for Criminal Investigations, Saxion University of Applied Sciences, 7513 AB Enschede, The Netherlands.ORCID 0009-0001-9251-1726
Maurice van KeulenFaculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The Netherlands.ORCID 0000-0003-2436-1372
Radoslav MiltchevFaculty of Industrial Technology, Technical University of Sofia, 1756 Sofia, Bulgaria.ORCID 0000-0003-1914-1172

Funding

Police Academy of the Netherlands Police and Science grant
6 · The paper itself

Abstract

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.

Indexed as

3D reconstruction3D scanner technologycrime investigationcrime scene reconstructionforensic photogrammetryNeural Radiance Fields

Identifiers

PMID39686130
PMCPMC11645082

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.