A Surface Reconstruction Method Of The Three-dimensional Target Body

The surface reconstruction of the three-dimensional target body and its visualization are very important in many areas, such as environmental, geological, medical, aviation and so on. For example, in the geological interpretation process, the surface reconstruction research of the three-dimensional target is very useful for the identification and detection of underground mineral oil, sandy, etc. In this paper, we research the three-dimensional target’s reconstruction, which based on three-dimensional geological body.Currently, the main solution for this research project can be divided into two categories: one is based on a method to express the target body in scalar form, such as the method of commercial software petrel to express the target is body perspective which can visualize the seismic data directly; Another method express the target body in vectors, such as using the triangle surfaces to approximatively express the target body surface. The main idea of these surface reconstruction methods has several steps. Firstly, We get the attributive range of the target body with the attributive range analysis method and extract the scattered points of the target body from the three-dimensional seismic data with data-driven by one or more seed points. Secondly, express the points of the target body using scalar form or vector surface forms. Finally, we can also make some human-computer interactive operations, such as edit, to correct the target body surface in 3D environment.There are some following problems in the currently available solutions: First, after making the analysis of attributive range of the seismic data, using one or more seed points to extract the scattered points of the target body, often depends on the seismic data and the accuracy of the analyzing of attributive range. When the seismic data, or analysis of attributive range is not accurate, the scattered points of the target body will have a high noise level, and the target body surface will be fuzziness and difficulty to identify. It will directly affect the results of the target body surface’s reconstruction. Secondly, there are some own unique characteristics and features in certain research areas, and making some human-computer interactive operations to combine the expert experience in the process of surface reconstruction is very important. However it is hard to operation and position in the three-dimensional environment for human-computer interaction. To solve the above problems, this paper proposes a new method of the surface reconstruction and visualization for the three-dimensional target body, then put this new method into the geological interpretation projects, finally we get a satisfied result. This paper completed the following tasks:1. To solve the first problem, this paper proposes a new scheme to extract the three-dimensional geological target body. After analyzing the attribute volume to get the attribute range of the target body, then uses the region growing strategy, the space density of data points and attribute similarity analysis to extract the scattered points of the target body and computes the uncertainty of the scattered points of the target body, then applies the DS evidence theory to compound the uncertainty of the scattered points of the target body. Thereby creates the uncertainty field. Finally, get the target surface from the uncertainty field by the contour surface.2. Before the realization of human-computer interaction, it is need to visual the three-dimensional uncertainty field to friendly analysis of uncertainty field for user and to expediently find the area that need for human-computer interaction. Therefore, this paper applies a series of isosurfaces of the uncertainty field to visual this uncertainty field. To solve the problem about human-computer interaction in the three-dimensional environment, we achieve human-computer interaction in the two-dimensional environment, and the way has three steps, firstly, we need to make uncertainty field into two-dimensional slices. Secondly, we need to extract the slices that need for human-computer interaction, manually edit and modify these slices. Finally, we use those modified slices to instead of the original unsatisfied slices to obtain a satisfied surface of the target. Therefore, this paper proposes a new method of the three-dimensional target body visualization based on two-dimensional human-computer interaction and uncertainty visualization.3. Based on the above methods, this paper designs and achieves a system of three-dimensional target body surface reconstruction and visualization, and applies the system to the project of geological interpretation, and get better results.