Research on 3D reconstruction algorithms for small scenes with weak texture

Changrui Nai

doi:10.1117/12.3014370

9 January 2024 Research on 3D reconstruction algorithms for small scenes with weak texture

Changrui Nai

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129690L (2024) https://doi.org/10.1117/12.3014370
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

3D reconstruction is 3 d reconstruction in aerial reconstruction, industrial measurement, medical image reconstruction, cultural relics preservation and restoration, virtual reality and other fields. However, the traditional 3 D reconstruction algorithm will have a poor reconstruction effect due to the transient foreground influence and the limitation of feature point identification in the scene. To solve the above problems, this paper uses LoFT R-SIFT algorithm to extract the feature points in weak texture area, increase the number of feature points matching in weak texture area, then introduces ExtremeC3Net algorithm to eliminate the feature points on the dynamic portrait in the scene; Finally, DPT improves the MVS algorithm to make deep compensation. The experimental results prove that the feature point matching accuracy of the algorithm is improved by 55%, which can better capture the details of the scene

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Changrui Nai "Research on 3D reconstruction algorithms for small scenes with weak texture", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129690L (9 January 2024); https://doi.org/10.1117/12.3014370

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