Dissertation > Excellent graduate degree dissertation topics show

Scattered point cloud model triangle mesh processing algorithms to achieve

Author: GaoXiangMin
Tutor: PangMingYong
School: Nanjing Normal University
Course: Educational Technology
Keywords: Scattered point cloud Denoising simplify Incremental Triangular mesh Remeshing
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 138
Quote: 0
Read: Download Dissertation

Abstract


With 3D depth camera, laser ranging measurements and access to information technology development, so that people can easily obtain accuracy and density increasing surface 3D data and 3D Surface data to the three-dimensional model of surface reconstruction become one of the hot recent years, the international graphics academic research, contributed greatly to reverse engineering, CAD / CAM and other rapid prototyping manufacturing technology development, and are widely used in computer vision, medical, aerospace, virtual reality collar city. Of scattered point cloud triangular mesh processing is an essential pre-processing step model surface reconstruction, is the most important and most critical step. Of scattered point cloud data processing technology triangular mesh of the object, on the rapid tectonic the interpolation surface in various application areas to promote the use of great practical significance. The main work of this paper include the following four areas: (1) the existing K-neighborhood denoising algorithm based on further given method to remove noise and drift points scattered point cloud data, the method using Gaussian function as a weighting function to assess the impact of its K neighboring data points, can be an effective solution to the drift point automatic identification and data points to determine whether the point cloud model average distance between two points, and the average impact parameter noise points and outliers, denoising model of scattered point cloud model adaptability. Scattered point cloud model provides an adaptive simplification algorithm for point cloud model based on the local surface analysis techniques, the algorithm of space-blocking ideological analysis and local sampling density the completion point cloud model adaptive simplification. Point cloud simplification algorithm can be simplified user-specified proportion of data points or simplified, complete any size. 3 a scattered point cloud model fast incremental triangular mesh processing algorithms, this algorithm uses wavefront (Wave Front) progressive generate triangular mesh surface model from point cloud data. Initialize the extended three sides of a triangle to a \outward expansion from the current mesh boundary triangulated surfaces, thus completing the triangle mesh of scattered point cloud model. The algorithm can effectively identify the boundary of the model with holes, and can deal with a variety of non-convex model natural surfaces scattered point cloud data, has strong adaptability. Paper will point cloud model triangle mesh processing algorithms and point cloud model reduction algorithm to combine, not only to achieve a multi-resolution triangular mesh of point cloud model display, and do not ask for the accuracy of the reconstruction model case, can effectively reduce the the model triangle mesh processing time, improve point cloud model of triangular mesh efficiency, simplified the greater the shorter the time required meshing.

Related Dissertations

  1. The Study of Incremental Democratic Research in the Perspective of Socialist Harmonious Society,D621
  2. Context of Globalization of Contemporary China’s Development Road,D616
  3. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  4. Research on Traceability and Incremental Consistency of the MDA Model Transformation,TP311.5
  5. The Establishment of Grid Platform on Agricultural Supply Chain System,S126
  6. Small photovoltaic grid-connected inverter design and simulation,TM464
  7. A Research on the Value Reference of Economic Constitutionalism in the Perspective of Increment Interest,D922.29
  8. Simulation of Multiple-step Incremental Roll-bending Forming of Large-scale Sheet Metal with U Shape,TG386
  9. The Research of Kernel Adaptive Filtering Algorithms,TN713
  10. The Research and Implementation of the Fault Management System for Triple Play,TP315
  11. Incremental Learning Method Based on Cloud Computing,TP311.13
  12. Study on Incremental Management of Human Capital of Public Hospitals in Hubei,R197.3
  13. J2ME-based mobile Remote Desktop Monitoring System Design and Implementation,TP311.52
  14. Packet-based network key nodes dynamic weighting algorithm,TP393.09
  15. One snapshot technology research and implementation,TP274
  16. Taking into account the factors shaping car rims multiaxial fatigue life prediction research,TG386
  17. Research on Incremental Cost-benefit of Green Building in the Whole Life Cycle,F426.92;F206
  18. Based on mid-level visual features and high-level structural information complementary target tracking model,TP391.41
  19. Full database retrieval method and its application,TP311.13
  20. Elevator Product Configuration Rules Dynamic Incremental Updating and Schemes Optimization Technologies and Their Applications,TU857
  21. Research and Realization on Partial Topological Algorithm for Vector Map Data,P208

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile