Signal, Image and Video Processing (Journal)

Description

Structure from Motion (SfM) is a 3D reconstruction approach to recover a camera pose and 3D coordinates of matched interest points. The obtained 3D structure is not clear. We must therefore use methods that significantly increase the number of reconstructed 3d points. Among these methods are those based on the match propagation. However, the 3D point recovery process generates erroneous points due to false matches. In this work, we propose a new algorithm to eliminate these points and then improve the quality of the 3D reconstruction. At first, the SfM approach is applied to recover the sparse 3D structure. Afterwards, we use the Modified Match Propagation algorithm for image couples to retrieve new matches and their 3D coordinates. The matching result is used to define the 3D point neighborhoods. These neighborhoods will be taken into consideration for the elimination of erroneous 3d points. The final 3D model can be obtained with meshing and texture mapping. Experimental results show the efficiency of the proposed approach.

Period	26 Apr 2022
Type of journal	Journal
ISSN	1863-1711