Incremental multi-view three-dimensional reconstruction method
A 3D reconstruction and multi-view technology, applied in the field of computer vision, can solve problems such as the inability to incrementally complete 3D models, achieve the effects of simplifying the manual process and registration process, wide application range, and easy use
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Embodiment 1
[0040] an incremental multi-view Figure three Dimensional reconstruction methods, such as figure 1 As shown, the method includes:
[0041] Step 1. Multi-view based on motion restoration structure method Figure three 3D model reconstruction to obtain a 3D reconstruction model, and store the image path, image camera matrix and reconstructed 3D point information in the memory respectively;
[0042] Step 2, read the newly added image and the 3D reconstruction model described in step 1, establish the initial image pair according to the image feature matching relationship and the 2D and 3D mapping relationship, and reconstruct the 3D point cloud;
[0043] Step 3, adding an image to be reconstructed each time, and reconstructing the newly added image to be reconstructed until all images are reconstructed;
[0044] Step 4. Perform patch-based multi-view stereo vision dense reconstruction on the reconstructed sparse point cloud model, and then complete multi-view Figure three Dimens...
Embodiment 2
[0068] This embodiment demonstrates an incremental multi-view described in Embodiment 1 Figure three The specific reconstruction process of the three-dimensional reconstruction method in 12 multi-view images, figure 2 The 3D model after dense reconstruction from 12 multi-view images is displayed from three angles: left, front and right. It can be found that the structure on the right side of the wooden house has not been reconstructed. The specific process is as follows:
[0069] Execute step 1: store the image path, image camera matrix and reconstructed 3D point information in the multi-view reconstruction result into the memory respectively.
[0070] Execute step 2: read in the multi-view reconstruction results and 16 new images. Extract the SIFT features of the newly added image and the multi-view image, and perform feature matching between the newly added image and the multi-view image and between the newly added image groups. According to the number of matches and the ...
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