The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Hierarchical mesh decomposition using fuzzy clustering and cuts
Abstract
Cutting up a complex object into simpler sub-objects is a fundamental problem in various disciplines. In image processing, images are segmented while in computational geometry, solid polyhedra are decomposed. In recent years, in computer graphics, polygonal meshes are decomposed into sub-meshes. In this paper we propose a novel hierarchical mesh decomposition algorithm. Our algorithm computes a decomposition into the meaningful components of a given mesh, which generally refers to segmentation at regions of deep concavities. The algorithm also avoids over-segmentation and jaggy boundaries between the components. Finally, we demonstrate the utility of the algorithm in control-skeleton extraction.
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Citations
Cites
Normalized cuts and image segmentation
Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,502
Recognition-by-components: A theory of human image understanding.
Biederman, I. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.115 · Cited by 5,621
Surface simplification using quadric error metrics
Garland, M., & Heckbert, P. S. (1997) · Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97 · doi:10.1145/258734.258849 · Cited by 3,412
A new approach to the maximum-flow problem
Goldberg, A. V., & Tarjan, R. E. (1988) · Journal of the ACM · doi:10.1145/48014.61051 · Cited by 1,882
O’Regan, G. (2023) · Texts in Computer Science · doi:10.1007/978-3-031-26212-8_4 · Cited by 1,614
Wu, Z., & Leahy, R. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.244673 · Cited by 1,137
Least squares conformal maps for automatic texture atlas generation
Lévy, B., Petitjean, S., Ray, N., & Maillot, J. (2002) · Proceedings of the 29th annual conference on Computer graphics and interactive techniques · doi:10.1145/566570.566590 · Cited by 943
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Lewis, J. P., Cordner, M., & Fong, N. (2000) · Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00 · doi:10.1145/344779.344862 · Cited by 853
Spectral compression of mesh geometry
Karni, Z., & Gotsman, C. (2000) · Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00 · doi:10.1145/344779.344924 · Cited by 652
Partitioning 3D surface meshes using watershed segmentation
Mangan, A. P., & Whitaker, R. (1999) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.817348 · Cited by 578
Cited by
Lee, C. H., Varshney, A., & Jacobs, D. W. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073244 · Cited by 667
A survey on Mesh Segmentation Techniques
Shamir, A. (2008) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2007.01103.x · Cited by 593
Consistent mesh partitioning and skeletonisation using the shape diameter function
Shapira, L., Shamir, A., & Cohen-Or, D. (2008) · The Visual Computer · doi:10.1007/s00371-007-0197-5 · Cited by 542
Skeleton extraction by mesh contraction
Au, O. K.-C., Tai, C.-L., Chu, H.-K., Cohen-Or, D., & Lee, T.-Y. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360643 · Cited by 521
Automatic rigging and animation of 3D characters
Baran, I., & Popović, J. (2007) · ACM SIGGRAPH 2007 papers · doi:10.1145/1275808.1276467 · Cited by 495
Metadata
- Authors
- Katz, S., & Tal, A.
- Venue
- ACM Transactions on Graphics
- Published
- 2003-07
- Volume
- 22
- Issue
- 3
- Pages
- 954-961
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2999893964
- Cited by
- 477
- References
- 21
- FWCI
- 29.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.