Abstract: Provided are a 3D reconstruction method and apparatus, an electronic device and a storage medium. The 3D reconstruction method comprises: using a plurality of cameras with different viewing angles to image a symbol to obtain a symbol image, a reference object for camera calibration being called the symbol, the symbol including a plurality of markers, and each of the markers having a corresponding ID number; identifying the ID number of the marker in the symbol image and searching for world coordinates corresponding to the marker according to the ID number; computing an external parameter matrix of the camera according to marker coordinates of a camera coordinate system and marker coordinates of a world coordinate system, and unifying point clouds under the world coordinate system to obtain a plurality of point clouds under different viewing angles; and stitching the plurality of point clouds together to obtain a 3D reconstructed image.

Abstract: Provided is a method for matching a virtual scene of a remote scene with a real scene for augmented reality and mixed reality. Multiple coordinate systems are established and a position relationship between the multiple coordinate systems is determined. A position of a point cloud scene in the near-side environmental space and the position of the near-side virtual scene are determined in the near-side environmental space through real marks, so as to realize the high-precision matching and positioning for augmented reality and mixed reality. Based on the position of objects marked in the real space, the method realizes adaptive and accurate positioning of the virtual objects in the augmented reality and mixed reality by overcoming spatial barriers. The scene in the virtual space is accurately superimposed into the near-side environmental space.

Abstract: Provided is a method for matching a virtual scene of a remote scene with a real scene for augmented reality and mixed reality. Multiple coordinate systems are established and a position relationship between the multiple coordinate systems is determined. A position of a point cloud scene in the near-side environmental space and the position of the near-side virtual scene are determined in the near-side environmental space through real marks, so as to realize the high-precision matching and positioning for augmented reality and mixed reality. Based on the position of objects marked in the real space, the method realizes adaptive and accurate positioning of the virtual objects in the augmented reality and mixed reality by overcoming spatial barriers. The scene in the virtual space is accurately superimposed into the near-side environmental space.