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Large Scale Point Cloud Surface Reconstruction Researh And Implementation Facing The Complex Constraints

Posted on:2016-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:S YangFull Text:PDF
GTID:2180330473955355Subject:Electronic and communication engineering
Abstract/Summary:
In recent years, as a research field of reverse engineering, point cloud space reconstruction technology has been greatly developed. It is largely used in many areas such as CAD modeling, geological modeling and so on. With the applications of surface reconstruction technique in real life are more widely, a large number of surface reconstruction algorithms for each different application areas have been brought up.In geologic surface reconstruction, the main problem faced is : firstly, there are a variety of complex constraints; secondly, for some large work area(such as the Sichuan Basin and other basins level work area), geological data is too large, ordinary PC memory is limited, it is difficult to achieve surface reconstruction using conventional method.This thesis launches the research on large scale seismic data point cloud surface reconstruction problem under a variety of geological constraints. Implement a large-scale point cloud surface reconstruction method facing the complex constraints. The main contents of this article are in the following:1. The thesis presents a surface reconstruction method for complex constraints. Based on point cloud surface reconstruction method on the geological boundary, the thesis made the research about the complex constraints appear in practical engineering like terrain reverse restriction and terrain trend restriction We made the research about constructing constraint of the regional geological regional, splicing reverse area and other areas, adding the terrain trend constraints, and finally achieved surface reconstruction.2. The thesis presents a method of surface reconstruction for large scale seismic data. This thesis puts forward a method of using terrain block idea to solve problems. Divide massive earthquake data that can not be processed in single computer into the terrain block. Set the scheduling method of terrain blocks. Achieved an efficient and smooth process of surface reconstruction with mass seismic data. And made the deal effect.3. Realize the system of three-dimensional geological curved surface reconstruction with mass seismic data. According to the method proposed in this paper, programming of each sub module of mass seismic data of three-dimensional geological curved surface reconstruction system. And test different project data to verify the efficiency of the system and the correct of the system effect.Through the research of large-scale point cloud surface reconstruction method facing the complex constraints and the design and realization of system with interaction, proved that the method can adapt to a variety of complex constraints and large numbers of geological seismic data. Provided a new way of thinking for point cloud surface reconstruction technique and 3D geological modeling technique.
Keywords/Search Tags:seismic data, complex constraints, blending Surfaces, surface reconstruction, terrain blocks
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