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Shape similarity measure based on correspondence of visual parts
Abstract
A cognitively motivated similarity measure is presented and its properties are analyzed with respect to retrieval of similar objects in image databases of silhouettes of 2D objects. To reduce influence of digitization noise, as well as segmentation errors, the shapes are simplified by a novel process of digital curve evolution. To compute our similarity measure, we first establish the best possible correspondence of visual parts (without explicitly computing the visual parts). Then, the similarity between corresponding parts is computed and aggregated. We applied our similarity measure to shape matching of object contours in various image databases and compared it to well-known approaches in the literature. The experimental results justify that our shape matching procedure gives an intuitive shape correspondence and is stable with respect to noise distortions.
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Cited by
Shape descriptors for non-rigid shapes with a single closed contour
Latecki, L. J., Lakamper, R., & Eckhardt, T. (2002) · Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) · doi:10.1109/cvpr.2000.855850 · Cited by 833
Self-citationMeshCNN: a network with an edge
Hanocka, R., Hertz, A., Fish, N., Giryes, R., Fleishman, S., & Cohen-Or, D. (2019) · ACM Transactions on Graphics · doi:10.1145/3306346.3322959 · Cited by 742
Content-based image retrieval: approaches and trends of the new age
Datta, R., Li, J., & Wang, J. Z. (2005) · Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval · doi:10.1145/1101826.1101866 · Cited by 435
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
Bai, X., Latecki, L., & Liu, W.-Y. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.59 · Cited by 425
Self-citationShape retrieval using triangle-area representation and dynamic space warping
Alajlan, N., El Rube, I., Kamel, M. S., & Freeman, G. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2006.12.005 · Cited by 279
Metadata
- Authors
- Latecki, L. J., & Lakamper, R.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2000
- Volume
- 22
- Issue
- 10
- Pages
- 1185-1190
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W1996187920
- Cited by
- 461
- References
- 0
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Latecki, L. J., & Lakamper, R. (2000). Shape similarity measure based on correspondence of visual parts. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.879802
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