The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Skeleton based shape matching and retrieval
Abstract
We describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and uses graph matching techniques to match the skeletons and to compare them. The skeletal graphs can be manually annotated to refine or restructure the search. This helps in choosing between a topological similarity and a geometric (shape) similarity. A feature of skeletal matching is the ability to perform part-matching, and its inherent intuitiveness, which helps in defining the search and in visualizing the results. Also, the matching results, which are presented in a per-node basis can be used for driving a number of registration algorithms, most of which require a good initial guess to perform registration. We also describe a visualization tool to aid in the selection and specification of the matched objects.
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Cites
A method for registration of 3-D shapes
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Topology matching for fully automatic similarity estimation of 3D shapes
Hilaga, M., Shinagawa, Y., Kohmura, T., & Kunii, T. L. (2001) · Proceedings of the 28th annual conference on Computer graphics and interactive techniques · doi:10.1145/383259.383282 · Cited by 2,187
A transformation for extracting new descriptors of shape
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Distance functions on digital pictures
Rosenfeld, A., & Pfaltz, J. L. (1968) · Pattern Recognition · doi:10.1016/0031-3203(68)90013-7 · Cited by 837
Shock Graphs and Shape Matching
Siddiqi, K., Shokoufandeh, A., Dickinson, S. J., & Zucker, S. W. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008102926703 · Cited by 756
Self-citationAmenta, N., Choi, S., & Kolluri, R. K. (2001) · Proceedings of the sixth ACM symposium on Solid modeling and applications · doi:10.1145/376957.376986 · Cited by 721
Cox, I. J., Miller, M. L., Minka, T. P., Papathomas, T. V., & Yianilos, P. N. (2000) · IEEE Transactions on Image Processing · doi:10.1109/83.817596 · Cited by 712
Matching 3D models with shape distributions
Osada, R., Funkhouser, T., Chazelle, B., & Dobkin, D. (2002) · Proceedings International Conference on Shape Modeling and Applications · doi:10.1109/sma.2001.923386 · Cited by 591
State of the Art in Shape Matching
Veltkamp, R. C., & Hagedoorn, M. (2001) · Advances in Pattern Recognition · doi:10.1007/978-1-4471-3702-3_4 · Cited by 535
The power crust, unions of balls, and the medial axis transform
Amenta, N., Choi, S., & Kolluri, R. K. (2001) · Computational Geometry · doi:10.1016/s0925-7721(01)00017-7 · Cited by 526
Cited by
A survey on skeletonization algorithms and their applications
Saha, P. K., Borgefors, G., & Sanniti di Baja, G. (2016) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.04.006 · Cited by 353
Point Cloud Skeletons via Laplacian Based Contraction
Cao, J., Tagliasacchi, A., Olson, M., Zhang, H., & Su, Z. (2010) · 2010 Shape Modeling International Conference · doi:10.1109/smi.2010.25 · Cited by 313
Retrieving articulated 3-D models using medial surfaces
Siddiqi, K., Zhang, J., Macrini, D., Shokoufandeh, A., Bouix, S., & Dickinson, S. (2008) · Machine Vision and Applications · doi:10.1007/s00138-007-0097-8 · Cited by 256
Self-citationLearning skeletons for shape and pose
Hasler, N., Thormählen, T., Rosenhahn, B., & Seidel, H.-P. (2010) · Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games · doi:10.1145/1730804.1730809 · Cited by 66
Metadata
- Authors
- Sundar, H., Silver, D., Gagvani, N., & Dickinson, S.
- Venue
- 2003 Shape Modeling International.
- Publisher
- IEEE Comput. Soc
- Published
- 2003-12-22
- Pages
- 130-139
- OpenAlex
- W2157575450
- Cited by
- 560
- References
- 23
- FWCI
- 63.23
- Type
- conference paper
- Language
- en
- Open access
- closed
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