Outdoor scene 3D reconstruction from multiple point cloud

Hui Chen; Yan Feng; Jinzhong Sun; Jian Yang; Chenggang Cui

doi:10.1117/12.2524421

6 May 2019 Outdoor scene 3D reconstruction from multiple point cloud

Hui Chen, Yan Feng, Jinzhong Sun, Jian Yang, Chenggang Cui

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106912 (2019) https://doi.org/10.1117/12.2524421
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

This paper presents a 3D reconstruction method fusing structure from motion and laser scanning method. The precision of the 3D reconstruction is improved by combining point cloud obtained from different sensors. First, a scaled principal component analysis-iterative closest point (a scaled-PCA-ICP) algorithm is proposed to do the registration that can overcome the influence of large scale variance. Then, with the large scale factor, a recalculated registration center is proposed by region segmentation to realize the point cloud registration again. Finally, the two-view point clouds are robustly matched using the proposed optimization method to complete 3D color reconstruction of the outdoor large scenes. The proposed 3D reconstruction method is evaluated on the non-synchronous database of the real-world multi-view vision sequences obtained in an outdoor environment and laser scanner. The experiment results show improvements in both accuracy and efficiency.

Citation Download Citation

Hui Chen, Yan Feng, Jinzhong Sun, Jian Yang, and Chenggang Cui "Outdoor scene 3D reconstruction from multiple point cloud", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106912 (6 May 2019); https://doi.org/10.1117/12.2524421

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