3D reconstruction of cross-scale narrow space with thin structure

Lei Han; Youquan Liu

doi:10.1117/12.2623428

16 February 2022 3D reconstruction of cross-scale narrow space with thin structure

Lei Han, Youquan Liu

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120831I (2022) https://doi.org/10.1117/12.2623428
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

This paper proposes a 3D reconstruction method for the cross-scale narrow space containing thin structure. This method takes monocular image sequences as input and respectively constructs large-scale scene point cloud of main part based on incremental SfM and small-scale thin structure point cloud based on the curve method. The small-scale thin structure point cloud reconstructed individually alleviates the defect of incomplete point cloud from the large-scale scene. By introducing PCA for initial registration, alternatively iterating the closest point algorithm and the global optimization algorithm, we achieve a more precise registration for the thin structure point cloud. Then, a replacement algorithm is used to fuse it with the point cloud of the main part. The experiment containing two scenes verifies the effectiveness of our method, which reconstructs point cloud of the thin structure with high accuracy and retains the overall 3D information of the scene at the same time.

Citation Download Citation

Lei Han and Youquan Liu "3D reconstruction of cross-scale narrow space with thin structure", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120831I (16 February 2022); https://doi.org/10.1117/12.2623428

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KEYWORDS

Clouds

3D modeling

Reconstruction algorithms

3D image processing

Atomic force microscopy

3D image reconstruction

Image registration

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