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Research And Application Of 3D Visualization Rendering Technology Based On Android

Posted on:2019-11-29Degree:MasterType:Thesis
Country:ChinaCandidate:L C WangFull Text:PDF
GTID:2428330569496089Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Spatial information mainly depends on points,lines,surfaces and so on,and uses computer coding to express the features of various types of spatial entities.It is a very meaningful and promising work to implement the visualization of three-dimensional spatial geographical elements by constructing a high-pseudo-true three-dimensional spatial model of realistic scene.The point model of polygon and texture is used to complete the data acquisition and data processing,and the method of point model modeling is improved.This thesis serves for remote rendering,uses iterative proximity algorithm to preprocess point cloud model data,uses data progressive transmission and other methods to implement data transmission and visualization of mobile 3D model based on Android.The whole research process is based on the model,the algorithm as the core,the simulation as the result,the following research work has been carried out:1.Point Cloud data acquisition and preprocessingThis thesis collects point cloud data,uses KD tree and iterative proximal point algorithm to denoise the collected point cloud data,and detects edge feature points based on planar features,and simplifies processing of point cloud data.2.Improvement of surface fitting algorithmOn the basis of distributed rendering mode,this thesis digitizes the physical model data to obtain a large number of point cloud data,and uses B-spline Curve fitting algorithm to express the surface of the model data by piecewise smooth,integral continuous surface requirements.Use PCL(Point Cloud Library)to implement surface reconstruction.3.Surface fitting and Modeling based on improved B-Spline CurveIn this thesis,the Non-Uniform Rational B-Splines(NURBS)algorithm is used to express the surface requirements of the model data by piecewise smooth and continuous surface,and the surface reconstruction is realized by using the PCL(Point Cloud Library).4.Simulation and ApplicationIn this thesis,a point cloud visualization system is developed by using Unity3 D,and an application that can be used in the running of Android platform is generated by Unity3 D compilation,and the visual output of 3D model of mobile terminal is realized.
Keywords/Search Tags:Iterative Closest Points Algorithm, Tabu Search Algorithm, PCL, NURBS
PDF Full Text Request
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