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Point cloud based reconstruction system Research and Implementation
Author: WangErZhu
Tutor: TangHaoXuan
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Three-dimensional surface reconstruction Point cloud simplification Mesh Generation Mesh optimization
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 181
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Abstract
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With games, simulation graphics technology continues to evolve, as well as industrial design, simulation, three-dimensional television, and other complex objects in three-dimensional model of applications continues to increase, on the reconstruction of three-dimensional model of research more and more people's attention. And because the point cloud data easy to access, easy to store, so using point cloud reconstruction technique is also developing rapidly. A complete three-dimensional reconstruction system typically includes the following aspects: First, the point cloud pretreatment; Then the processed point cloud triangular mesh surface reconstruction, get initial mesh; Finally, the initial mesh optimization to get the final triangulation grid, it can be used by other modeling software. This article focuses on the three stages of in-depth study: the point cloud simplification phase, discussed in detail on the basis of the existing methods, we use non-uniform grids and curvature-based method of combining the original point cloud streamlined. First, the point cloud curvature values ??calculated for each point, and the point cloud mesh subdivision, so that the midpoint of each grid cell number is not greater than a threshold value M, then the midpoint of the curvature value according to the cell size and Cell size in accordance with a rule to streamline its so large curvature region retain more points, and will not appear on the surface area flat holes on the subsequent rebuilding of great benefit to the grid. In the mesh generation stage, the first of its original point cloud generated covering the surface of the adaptive ball set, and then calculate the intersection between the ball of to generate triangular mesh generation by controlling the size of the sphere radius to control the accuracy of the grid, generating different levels of fine mesh model; also proposes a vertex-based regional extension method, first select a seed vertex be extended to form a ring around this vertex of the triangle or triangular fan, while the new vertex Jia Rubo before the point of the list , followed by the list from the wavefront point out that can be extended to form a triangle ring until the wavefront point list is empty. This method can greatly reduce the mesh triangles and holes selfing generation. Optimization phase of the grid, mesh optimization element by defining the operation, each time you select a shape factor of the smallest grid mesh elements to perform optimization operation, reduce the complexity of the grid, mesh quality optimization. Finally, based on the proposed algorithm based on the design and implementation of a three-dimensional point cloud reconstruction system, capable of a variety of different formats point cloud processing, has good scalability. By testing different point cloud model to verify the feasibility and effectiveness of the algorithm. Based on the above method developed three-dimensional reconstruction of the system can be well used in the human body modeling, object modeling game scene development, able to quickly and accurately complete point cloud directly generated by the computer model. Also can be applied in other areas such as simulation, medical, cultural recovery display and so on.
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