1. 2002-2003 FYP Presentataion CK1 Intelligent Surface Modeler By Yu Wing TAI Kam Lun TANG Advised by Prof. Chi Keung TANG

2. 2002-2003 FYP Presentataion Overview of presentation  Motivation  Tensor Voting Algorithm  Implementation  Results  Conclusion Presented by: Yu Wing TAI Kam Lun TANG theory and applications tensor and voting data representation and communication bunny dragon etc  Motivation  Tensor Voting Algorithm  Implementation  Results  Conclusion

3. 2002-2003 FYP Presentataion Motivation  Theoretical interest –Emulate human visual perception  Applications –3D modeling Presented by: Yu Wing TAI Kam Lun TANG

4. 2002-2003 FYP Presentataion Overview of presentation  Motivation  Tensor Voting Algorithm  Implementation  Results  Conclusion Presented by: Yu Wing TAI Kam Lun TANG

5. 2002-2003 FYP Presentataion What is Tensor Voting?  Representation  Constraint propagation  Data communication Presented by: Yu Wing TAI Kam Lun TANG TENSOR VOTING FIELDS VOTING ALGORITHM

6. 2002-2003 FYP Presentataion Presented by: Yu Wing TAI Kam Lun TANG Tensor = Ellipse SMOOTH CURVE POINT JUNCTION + = ELLIPSE (TENSOR)

7. 2002-2003 FYP Presentataion Presented by: Yu Wing TAI Kam Lun TANG - 2D tensor Ball Tensor- 100% uncertainty in all directions Stick Tensor - 100% certainty in normal directions Tensor = Ellipse ball tensor stick tensor -

8. 2002-2003 FYP Presentataion 2D Stick Voting Field  Encode smoothness ? Presented by: Yu Wing TAI Kam Lun TANG

9. 2002-2003 FYP Presentataion 2D Ball Voting Field –Derived from 2D stick voting field  Rotation and integration Presented by: Yu Wing TAI Kam Lun TANG

10. 2002-2003 FYP Presentataion Presented by: Yu Wing TAI Kam Lun TANG Voting Algorithm voting = summation of tensor votes accumulated in a neighborhood Each input site propagates its information in a neighborhood += += += +=

11. 2002-2003 FYP Presentataion 3D Tensor Voting pointscurvelssurfels Decompose surface saliency map Feature Extraction surface Encode ballsplatessticks Sparse Tensor Voting stick voting field plate voting field ball voting field tensor tokens Dense Tensor Voting dense tensor map Presented by: Yu Wing TAI Kam Lun TANG

12. 2002-2003 FYP Presentataion Results  Noisy data  Sparse data  Large scale reconstruction  Efficient neighborhood searching in 3D space  Code Optimization  Qualitative and quantitative analysis Presented by: Yu Wing TAI Kam Lun TANG  Noisy data  Sparse data  Large scale reconstruction  Efficient neighborhood searching in 3D space  Code Optimization  Qualitative and quantitative analysis

13. 2002-2003 FYP Presentataion 100% noise300% noise500% noise1000% noise1500% noise2000% noise3000% noise5000% noise Result: Robustness

14. 2002-2003 FYP Presentataion Large scale reconstruction Presented by: Yu Wing TAI Kam Lun TANG 35974 points 1,153,856 triangles

15. 2002-2003 FYP Presentataion Conclusion  Intelligent surface modeler –3D surface description  Tensor voting  Results –Robustness –Large scale reconstruction  Future work –Multiscale feature segmentation and extraction Presented by: Yu Wing TAI Kam Lun TANG

16. 2002-2003 FYP Presentataion Thank you Q&A