Fast reconstruction of indoor 3D scene based on multi-scale feature fusion
The traditional three-dimensional(3D)scene reconstruction methods mostly use laser scanning technology to obtain structure data.As the acquisition equipment has a certain requirement for the environment space,some pixel information is missing during the indoor image acquisition process,affecting the 3D transformation accuracy of two-dimensional(2D)features.As a result,the reconstruction effect and expected effect have a larger gap,and redundant characteristic information is produced,seriously affecting the reconstruction efficiency.Therefore,a new method based on multi-scale feature fusion,suitable for indoor 3D scene reconstruction,was proposed.The specific implementation was as follows:First,the multi-view sampling images of indoor 3D scenes were integrated;then,a multi-scale feature fusion network for image acquisition was established;finally,the fast reconstruction of indoor 3D scenes based on multi-scale feature fusion was completed.The comparison of experimental data shows that the proposed multi-scale feature fusion plays a key role in the 3D reconstruction process,and the accuracy of 3D feature matching and reconstruction efficiency are significantly improved,which effectively solves the shortcomings of traditional reconstruction methods.