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

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Optimizing filming techniques like landscape mode and slower speeds significantly improves 3D reconstructions for crime scene investigations. These methods enhance detail and clarity using Neural Radiance Fields (NeRF) and Gaussian Splatting.

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Area of Science:

  • Computer Vision
  • 3D Reconstruction Technology
  • Forensic Science Applications

Background:

  • High-fidelity 3D reconstructions are crucial for forensic analysis, architectural documentation, and cultural heritage preservation.
  • Existing 3D capture methods can suffer from noise and artifacts, impacting reconstruction accuracy.
  • Neural Radiance Fields (NeRF) and Gaussian Splatting offer advanced approaches to 3D scene representation.

Purpose of the Study:

  • To investigate the impact of various filming techniques on the quality of 3D reconstructions.
  • To identify optimal parameters for capturing detailed and artifact-free 3D models, particularly for indoor crime scenes.
  • To provide practical guidelines for improving 3D data acquisition.

Main Methods:

  • Experiments were conducted in a mock crime scene apartment using NeRF and Gaussian Splatting.
  • Filming parameters such as camera orientation, speed, data layering, and scanning path were systematically varied.
  • The clarity, detail, and accuracy of the resulting 3D reconstructions were quantitatively and qualitatively assessed.

Main Results:

  • Filming in landscape mode, at a slower speed, with a minimum of three data layers, and focusing on key objects yielded the most effective results.
  • Optimal techniques were found to significantly reduce noise and visual artifacts in the 3D models.
  • Clearer and more accurate 3D reconstructions were achieved through the identified filming strategies.

Conclusions:

  • Specific filming techniques demonstrably enhance the quality and reliability of 3D reconstructions.
  • The findings offer practical guidance for professionals in forensics, architecture, and heritage preservation seeking high-quality 3D data.
  • Future research can explore additional algorithms and real-time adjustments to further advance 3D capture technologies.