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USING GEOMETRIC MODELING FOR FEATURE RECOGNITION IN ARCHAEOLOGICAL VESSELS

USING GEOMETRIC MODELING FOR FEATURE RECOGNITION IN ARCHAEOLOGICAL VESSELS. DEZHI LIU FEATURE GROUP PRISM/ASU. 3DK – September 15, 2000. USING GEOMETRIC MODELING FOR FEATURE RECOGNITION IN ARCHAEOLOGICAL VESSELS. 1. Geometric Modeling for Archaeological Vessels

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USING GEOMETRIC MODELING FOR FEATURE RECOGNITION IN ARCHAEOLOGICAL VESSELS

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  1. USING GEOMETRIC MODELING FOR FEATURE RECOGNITION IN ARCHAEOLOGICAL VESSELS DEZHI LIU FEATURE GROUP PRISM/ASU 3DK – September 15, 2000

  2. USING GEOMETRIC MODELING FOR FEATURE RECOGNITION IN ARCHAEOLOGICAL VESSELS 1. Geometric Modeling for Archaeological Vessels 2. Features of Archaeological Vessels 3. Feature Recognition 4. Output Analysis Result as XML Files 5. Some Results and Further Work 3DK – September 15, 2000

  3. 1. Geometric Models for Archaeological Vessels 1.1 3D Geometric Models for Archaeological Vessels 1.2 2D Geometric Models for Archaeological Vessels 3DK – September 15, 2000

  4. 1.1 3D Geometric Models • Polygon Meshes • M = (V, E, F) • Where V: Vertex Set, E: Edge Set, F: Face Set 3DK – September 15, 2000

  5. 1.1 3D Geometric Models (Continue) • NURB Surfaces 3DK – September 15, 2000

  6. 1.2 2D Geometric Models • Chain Codes • NURB Curves 3DK – September 15, 2000

  7. 2 Features of Archaeological Vessels 2.1 Feature Points 2.2 Contour Types 2.3 Features in Common for Vessels 2.4 Classification of Base 3DK – September 15, 2000

  8. 2.1 Feature Points 3DK – September 15, 2000

  9. 2.1 Feature Points (continue) 3DK – September 15, 2000

  10. 2.2 Contour Types Simple 3DK – September 15, 2000

  11. 2.2 Contour Types (continue) Composite 3DK – September 15, 2000

  12. 2.2 Contour Types (continue) Inflected 3DK – September 15, 2000

  13. 2.2 Contour Types (continue) Complex 3DK – September 15, 2000

  14. 2.3 Features in Common for Vessels 3DK – September 15, 2000

  15. a. Convex base Base curve Base curve (Line Segment) b. Flat base with zero curvature c. Concave base Base Point 2.4 Classification of Base 3DK – September 15, 2000

  16. 3 Feature Recognition 3.1 Based on Curvature Analysis 3.2 Based on Angle Change 3.2 Based on Wavelet 3DK – September 15, 2000

  17. 3.1 Curvature Analysis • Inflection Points (IPs) • A point P will be a IP, if P satisfies • К(t) = 0 3DK – September 15, 2000

  18. 3.2 Angle Change • Corner Points (CPs) • A point P will be a CP, if the angle changes sharply at P • End Points (EPs) 3DK – September 15, 2000

  19. 3.3 Wavelet Please refer to Dasu’s presentation 3DK – September 15, 2000

  20. 4 Output Analysis Result as XML Files • XML Schema • Binary Data Embedding 3DK – September 15, 2000

  21. 5 Some Result and Further Work 3DK – September 15, 2000

  22. 5 Some Result and Further Work (continue) 3DK – September 15, 2000

  23. 5 Some Result and Further Work (continue) 3DK – September 15, 2000

  24. 5 Some Result and Further Work (continue) 3DK – September 15, 2000

  25. 5 Some Result and Further Work (continue) 3DK – September 15, 2000

  26. 5 Some Result and Further Work (continue) 3DK – September 15, 2000

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