Evidence map›Paper›PMID 39997567›Full record

ArticleJournal of imaging2025

Impact of Data Capture Methods on 3D Reconstruction with Gaussian Splatting.

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

Abstract read
In one paragraph

Article in Journal of imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Funding

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

Abstract

This study examines how different filming techniques can enhance the quality of 3D reconstructions with a particular focus on their use in indoor crime scene investigations. Using Neural Radiance Fields (NeRF) and Gaussian Splatting, we explored how factors like camera orientation, filming speed, data layering, and scanning path affect the detail and clarity of 3D reconstructions. Through experiments in a mock crime scene apartment, we identified optimal filming methods that reduce noise and artifacts, delivering clearer and more accurate reconstructions. Filming in landscape mode, at a slower speed, with at least three layers and focused on key objects produced the most effective results. These insights provide valuable guidelines for professionals in forensics, architecture, and cultural heritage preservation, helping them capture realistic high-quality 3D representations. This study also highlights the potential for future research to expand on these findings by exploring other algorithms, camera parameters, and real-time adjustment techniques.

Indexed as

3D reconstruction3D scanner technologycrime scene reconstructionforensic photogrammetryforensicsgaussian splattingneural radiance fields

Identifiers

PMID39997567
PMCPMC11855968

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.