31 results about "Marching cubes" patented technology

A method for the problem of reconstructing a watertight surface defined by an implicit equation from a finite set of oriented points. As in other surface reconstruction approaches disctretizations of this continuous formulation reduce to the solution of sparse least-squares problems. Rather than forcing the implicit function to approximate the indicator function of the volume bounded by the surface, in the present formulation the implicit function is a smooth approximation of the signed distance function to the surface. Then solution thus introduced is a very simple hybrid FE / FD discretization, which together with an octree partitioning of space, and the Dual Marching Cubes algorithm produces accurate and adaptive meshes.

The invention relates to a robust real-time three-dimensional (3D) reconstruction method based on a consumer camera, and aims to solve the problems of high calculation cost and inaccurate and incomplete reconstructed model in the existing method. The method comprises the following steps: 1, estimating the camera pose of each video frame under a scene coordinate system on the basis that a current video frame of a camera is used as input in the camera moving process; 2, selecting an optimized key frame in the video frame for depth estimation; 3, estimating the depth information of each video frame by adopting a quick robust depth estimation algorithm to obtain a depth map of each video frame; and 4, converting the depth map of each video frame into an unblind distance field, parallel executing weighted average of TSDF on voxel, incrementally fusing the depth map of each video frame, and constructing a triangular mesh surface by a Marching cubes algorithm. The method is applied to the field of image processing.

Disclosed are a three-dimensional reconstruction method, apparatus, and device, and a storage medium. The three-dimensional reconstruction method comprises: determining a relative camera pose of a current depth image key frame with respect to a preset depth image key frame by using a preset fast global optimization algorithm; determining at least one effective space block corresponding to the current depth image key frame by using a sparse sampling method; fusing the at least one effective space block with a first three-dimensional grid model corresponding to a previous depth image key frame on the basis of the relative camera pose, to obtain a second three-dimensional grid model corresponding to the current depth image key frame; and generating an equivalent contour surface of the second three-dimensional grid model by using an accelerated marching cubes algorithm, to obtain a three-dimensional reconstruction model of a target scene.

The invention relates to a micro-CT technology-based reservoir core three-dimensional entity model reconstruction method. The method includes the following steps that: a micro-CT technology is utilized to scan a reservoir core, so that a sectional scanning image of the reservoir core can be obtained, so that a CT image of a real reservoir core can be obtained, and a watershed algorithm is adopted to perform image segmentation on the CT image, so that the three-dimensional data of the image can be obtained; a Marching Cubes algorithm is adopted to generate a three-dimensional surface model of the reservoir core; and with the three-dimensional surface model of the reservoir core adopted as constraints, a constrained Delaunay tetrahedralization algorithm is utilized to generate the three-dimensional entity model of the reservoir core. According to the method of the invention, the three-dimensional entity model of the real reservoir core is established based on the sectional scanning image of the reservoir core, so that the obtained three-dimensional entity model of the reservoir core is more approximate to the structure of a real reservoir core. The method of the invention has the advantages of high accuracy and high efficiency. With the method adopted, defects of poor accuracy and low efficiency in the reconstruction of the three-dimensional entity model of a reservoir core in the prior art can be eliminated, and an effective guarantee can be provided for reservoir core simulation characteristic research.