Dissertation > Excellent graduate degree dissertation topics show

Shape Analysis Based on Laplacian Deformation

Author: ZuoZuo
Tutor: LiuXinGuo
School: Zhejiang University
Course: Applied Computer Technology
Keywords: shape analysis Laplacian deformation surface defect detection surface defect visualization
CLC: TP391.72
Type: Master's thesis
Year: 2011
Downloads: 109
Quote: 0
Read: Download Dissertation

Abstract


Surface defects on sheet metal panels, which are commonly assembled for outer cover shell of industry products, cause unwanted visual flaws deviating form the intended appearance. Surface defect inspection is involved to detect unqualified panels or to be helpful to improve the producing technics. With modern CAE (Computer-Aided Engineering) technology, the application of punch forming emulation systems which simulate the real producing process of sheet metal panels are widely used for the sake of decreasing the tryout stage and of cutting the developing cost. The output panel models represented by finite element mesh from the emulation systems give high fidelity to the real shape of the stamped panels, simulating spring back and having realistic surface detail. It is desirable to conduct the surface shape analysis directly after stamping simulation to visual or detect the latent defects on the virtual panel. In this dissertation we present a novel shape analysis technology, which measures defects through comparing shape details of the defect scale between the defective and the reference panel. This new technology also provides a convenient measurement for automatic defect grading and evaluation.The method we describe here is deferent from the previous work, for it not only analyzes the geometric information alone but also takes fully the advantage of the reference shape. It needs no auxiliaries like structure light and reflection system, but is just based on the geometric deforming techs. Using Laplacian deformation and spectral decomposition, we can generate a couple of new defective and reference models with corresponding vertices and the same mesh topology from the originals. Defect information then is deduced from normal deviations of their corresponding vertex positions.

Related Dissertations

  1. Study on the Algorithm of Cranio-facial Reconstruction,TP391.41
  2. Automatic Detection and Recognation of Road Signs,TP391.41
  3. Research on Human Motion Tracking and 3D Reconstruction,G804.2
  4. Building and Road Extraction from LiDAR Data Based on Contour Feature Analysis,P237
  5. Research on Planar Footprint Shape Analysis and Footprint-based Identity Verification,TP391.4
  6. Quantitative Analysis of Ultrasound Image Features and Differentiation of Breast Tumors,TP391.41
  7. Graph-based pattern recognition and computer vision applications in,TP391.41
  8. Symmetry-Based Structure Analysis and Processing of Man-Made Objects,TP391.41
  9. Optical surface flaw detection scan stitching error analysis,TN25
  10. Research on New Method of Detecting the Surface Flaw of One Kind of Workpiece and Realization of the System,TH878
  11. A Study of the ’uncertainties’in Shuo WenShiLi,H161
  12. The Design of JPT Educational Software Platform Based on CBIR Technology,TP311.52
  13. Visual Inspection Research and Application on Drugs Filling Production Line,TP274.4
  14. Computer graphics technology and simulation technology in the application of facial contour remodeling,R622
  15. The Research and Development of a Plate Shape and Surface Defect Detecting Device,TP274
  16. Research on Bearing Shield Surface Defect Detection Based on Image Processing,TG115.28
  17. For automatic processing and packaging line Apple Computer Vision Inspection and Grading System,TP391.41
  18. Dark-field scattering techniques applied research in the wafer surface defect detection,TN307
  19. Design and Test Research on the Piezoelectric Stack Pump,TH38
  20. Research of Welding Residual Stresses and Distortion for T-joint by Using Finite Element Analysis,TG404
  21. Globle Shape Analyzing and Its Arithmetic Design of the Free-form Parameter Surface,TP391.7

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Machine-assisted technology > Machine -aided design (CAD), aided drawing
© 2012 www.DissertationTopic.Net  Mobile