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3D Reconstruction of Indoor Scenes Based on 3DGS Models

Hanghua Li

Hanghua Li

School of Computer Science and Engineering, Xi’an Technological UniversityXi ‘an, China
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Li, Hanghua
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Lipeng Si

Lipeng Si

School of Computer Science and Engineering, Xi’an Technological UniversityXi ‘an, China
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Si, Lipeng
  
Sep 30, 2024
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Published Online: Sep 30, 2024
Page range: 56 - 61
DOI: https://doi.org/10.2478/ijanmc-2024-0027
Keywords
© 2024 Hanghua Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

3D Reconstruction Process Map.
3D Reconstruction Process Map.

Figure 2.

The result of adding bilateral filters for indoor scenes.
The result of adding bilateral filters for indoor scenes.

Figure 3.

Optimized 3D Reconstruction Process Map.
Optimized 3D Reconstruction Process Map.

Figure 4.

Performance of peak signal-to-noise ratios of 3DGS and ours models for eight different indoor scenes, respectively.
Performance of peak signal-to-noise ratios of 3DGS and ours models for eight different indoor scenes, respectively.

Figure 5.

Representation of structural similarity between 3DGS and ours model for 8 different indoor scenes, respectively.
Representation of structural similarity between 3DGS and ours model for 8 different indoor scenes, respectively.

Experimental Results

Dataset PSNR SSIM
3DGS 30.41 0.879
ours 31.89 0.897
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Computer Sciences, other
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