  To address the issue of increased triangulation uncertainty caused by
selecting views with small camera baselines in Structure from Motion (SFM) view
selection, this paper proposes a robust error-resistant view selection method.
The method utilizes a triangulation-based computation to obtain an
error-resistant model, which is then used to construct an error-resistant
matrix. The sorting results of each row in the error-resistant matrix determine
the candidate view set for each view. By traversing the candidate view sets of
all views and completing the missing views based on the error-resistant matrix,
the integrity of 3D reconstruction is ensured. Experimental comparisons between
this method and the exhaustive method with the highest accuracy in the COLMAP
program are conducted in terms of average reprojection error and absolute
trajectory error in the reconstruction results. The proposed method
demonstrates an average reduction of 29.40% in reprojection error accuracy and
5.07% in absolute trajectory error on the TUM dataset and DTU dataset.
