Dissertation > Excellent graduate degree dissertation topics show

Extraction of Boundary from Relic Three-dimensional Model

Author: WeiZuoRan
Tutor: GengGuoHua
School: Northwestern University
Course: Computer Software and Theory
Keywords: Extraction of boundary Integral invariants Cut section Multi-scale Curve fitting
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 98
Quote: 2
Read: Download Dissertation

Abstract


Extraction of Boundary is an important part in three-dimensional model. It’s extensive used in many fields, such as reassembling fractured objects, reverse engineering and model painting. This paper studies in extract the boundary of historical relics which possess the crude surface and not regular. It mainly includes following:1) Improve a boundary extraction algorithm based on integral invariants. The new algorithm used the method like the voxelization. It decrease the workload in calculate. The probable inaccuracy is also analyses in the paper and proves the inaccuracy is in the tolerance interval.2) Propose a new method of extraction of boundary based on cut section. This method aim at solve the problem of extraction the smooth boundary. The principal component analyses used to revision the direction of the model, and cut sections to differential coefficient the model to planar curve. Extracted the feature point from the curve and mapped the point to the model. At last get the boundary of the model.3) Analysis the two arithmetics by multi scale behavior, use multi scale to improve the impression of boundary extraction.4) Fitting curve of the boundary. Design two different methods for the two algorithms.5) Extraction of boundary system is designed. The system prove the research and convenient the follow-up study. Use the system extracts the boundary of terra-cotta warriors’ three-demensional model and the results are well.

Related Dissertations

  1. Aerial Target Anti-interference Recognition and Tracking System,TN215
  2. Research on Detecting Optical Fiber Geometric Parameter Based on Machine Vision,TN253
  3. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  4. Study on Medical Image Segmentation Method Based on Parametric Active Contour Models,TP391.41
  5. Research on Stereo Matching Algorithm Based on Regional Hierarchy and Multi-scale,TP391.41
  6. Research and Application of Compute Model on Visual Attention Mechanism,TP391.41
  7. Based on the model and features of the package ML_pLSA Target Recognition Algorithm,TP391.41
  8. Mixed-configuration Instance Solving and Non-standard Scheme Evaluation Technologies for a Type of Order Product and Their Application,F224
  9. The Study and Application of in Situ Adaptive Tabulation in Multiscale Simulation,O552.2
  10. The Research on the Level of Object Data Model of Forest Resource Information,P208
  11. Research on the Route Planning Method of Multi-Scale Road Networks in Embedded GIS,P208
  12. Curve Fitting of Time Series with Equidistant Sampling Points,O211.61
  13. SAR image denoising and fusion based on multiscale geometric analysis,TN957.52
  14. Study on Design of High Performance Al-Si-Cu-Mg Alloy,TG146.21
  15. Denoising and Cloud Shadow Removing of Remote Sensing Image Based on Contourlet Transform,TP751
  16. The Research on Satellite Images Fusion Algorithm Based on Multiscale Analysis,TP391.41
  17. Reserch on Denoising and Edge Detection of Range Image LIDAR,TN958.98
  18. Based on fractal dimension and multi-scale fractal characteristics of medical image processing,TP391.41
  19. Its high-resolution image change detection Emergency Disaster Assessment Study,TP391.41
  20. Study of the Scale Issues in the Information Extraction of Forest Vegetation Based on Remote Sensing,S771.8
  21. Growth Curve and Estimation of Genetic Parameters of Parameters in Jing Wu Quality Duck,S834

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