1. Consistent Segmentation of 3D Models Aleksey Golovinskiy Thomas Funkhouser Princeton University

2. Consistent Segmentation Consistent Segmentation: More useful Better segmentations Individual Segmentations Consistent Segmentations

3. Fuzzy clustering and min cuts Shape Diameter Function K-means [Katz and Tal 2003] [Shlafman et al. 2002] [Shapira et al. 2008] Previous Work

4. Previous work Part Analogies [Shalom et al 08] Segment Part Distance Metric Limitation Individual segmentations

5. Previous Work Shuffler [Kraevoy 06] Oversegment Combine segments Limitations Only pairs No outliers

6. Outline Single mesh segmentation Consistent segmentation Results

7. Single Mesh Segmentation

8. Segmentation error encourages – Small perimeter – Concave boundaries – Similar areas Greedy search procedure – Aggregate segments

9. Segmentation Error w concave encourages concave boundaries

10. Single Mesh Segmentation

11. Disconnected Components vs

12. Disconnected Components

13. Existing Part Hierarchy

14. Examples

15. Performance * * [X. Chen et al SIGGRAPH 09] http://segeval.cs.princeton.edu/

16. Outline Single mesh segmentation Consistent segmentation Results

17. Approach All mesh faces in graph Add alignment arcs Cluster graph

18. Alignment Error For segment:

19. Total Error

20. Outline Single mesh segmentation Consistent segmentation Results

21. Shuffler: Outliers> 2 meshes Individual Segmentations

22. Results

23. Results: Symmetric Segmentation

24. Results: Segmentation Transfer Unsegmented

25. Results: Segmentation Transfer Unsegmented

26. Results: Segmentation Transfer

27. Limitations and Future Work Alignment Higher-level cues

28. Acknowledgements SMI reviewers Aim@Shape, Viewpoint for models Grants – NSF (CNFS-0406415, IIS-0612231,CCF-0702672) – Google