The super resolution reconstruction method based on learning model is complex

the reconstructed image is fuzzy and the resolution is low. In order to solve this kind of problem

put forward the sparse texture image reconstruction algorithm of multi camera calibration depth

gives the detection data sequence of 3D reconstruction

image contour extraction method using blue screen

multi depth camera calibration by the Bundler open source software

obtain good calibration of multi view images. Using SIFT algorithm to extract the feature points in the image

the use of three-dimensional reconstruction algorithm based on PMVS images

sparse texture image reconstruction. The experimental results show that the proposed method can improve the resolution of the coefficient texture image

and has high performance and robustness.