Improved feature matching strategy for 3D reconstruction

Journal of Hebei University of Science and Technology

Shengwang LI¹  Yue WU¹  Yu BAI¹ 

[1] School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China;

关键词: computer vision;    3D reconstruction;    subsampling;    feature matching;    SIFT;    SURF;   

DOI  :  10.7535/hbkd.2019yx05007

来源: DOAJ

【 摘 要 】

In order to get the feature points in the image more quickly and improve the stability of feature matching results, an improved matching strategy is proposed. First, the image is subsampled, matched by a low-resolution image, and the matching pair that matches the failure is quickly filtered out, and then the matched ones that succeed are matched with the corresponding original images, so as to achieve the purpose of acceleration. In addition, the matching result of SIFT and the matching result of SURF are merged, and the fusion result is applied to the 3D reconstruction technology, which effectively improves the accuracy of the 3D point cloud. The algorithm is tested by using self-acquired data set and public data set, and the experimental data is analyzed. The results show that the improved feature matching strategy improves the running speed of 3D reconstruction by 40% and greatly increases the number of 3D points. Therefore, the proposed method can not only reduce the computational burden of feature matching process, but also improve the stability of 3D reconstruction, so it has certain reference value in the research of 3D reconstruction.

【 授权许可】

Unknown