The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Curvature Primal Sketch
Open accessAbstract
In this paper we introduce a novel representation of the significant changes in curvature along the bounding contour of planar shape. We call the representation the Curvature Primal Sketch because of the close analogy to the primal sketch representation advocated by Marr for describing significant intensity changes. We define a set of primitive parameterized curvature discontinuities, and derive expressions for their convolutions with the first and second derivatives of a Gaussian. We describe an implemented algorithm that computes the Curvature Primal Sketch by matching the multiscale convolutions of a shape, and illustrate its performance on a set of tool shapes. Several applications of the representation are sketched.
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Citations
Cites
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Cited by
A theory of multiscale, curvature-based shape representation for planar curves
Mokhtarian, F., & Mackworth, A. K. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.149591 · Cited by 940
Metadata
- Authors
- Asada, H., & Brady, M.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1986-01
- Volume
- PAMI-8
- Issue
- 1
- Pages
- 2-14
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2163775665
- Cited by
- 702
- References
- 1
- FWCI
- 48.23
- Type
- journal article
- Language
- en
- Open access
- green
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- Asada, H., & Brady, M. (1986). The Curvature Primal Sketch. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.1986.4767747
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
