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3D Reconstruction Based On Kinect And Textile Simulation System

Posted on:2015-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:X N FanFull Text:PDF
GTID:2268330425496757Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
3D reconstruction can digitize the realistic scenes to do virtual reality, which is a research hotspot in recent years. Textile CAD has developed rapidly, but the scene simulation and display technology is not mature.The alignment algorithms of3D reconstruction based on Kinect’s depth and color images are investigated and realized in this paper. First extract the SURF features from the color images and match the feature points. The RANSAC algorithm is used to purify the matched points and calculate the rigid transformation matrix. An improved ICP algorithm is employed for point cloud registration which can reduce the amount of calculation and improve the speed of algorithm convergence in order to break away the reconstruction from the dependence on GPU parallel computing. The3D reconstruction is simple, smooth and accurate.A fabric simulation system of2D virtual scene is researched and implemented in this paper. The system can simulate the folds and transformations realistically and allows replacement and modification of fabric. The cubic polynomial interpolation algorithm is proposed to avert deformations of texture mapping. It can overcome the low-pass characteristic and eliminating the jags. The paper utilizes the intensity based fusion algorithm, which retains the original scene’s intensity. The two-dimensional fabric scene simulation system is accurate and realistic, and has rapid time response.OpenGL-based3D scene simulation system of textile is employed to simulate the effect of textile for Kinect3D reconstruction model which can display the effect of textile naturally. The operation is simple and the simulation effect is clear and stereo. The simulation system can be used as an auxiliary tool for design and a display tool for marketing with high practical value and economic value.
Keywords/Search Tags:SURF features, RANSAC algorithm, point cloud registration, ICPalgorithm, Intensity fusion, Scene simulation
PDF Full Text Request
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