The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Application of affine-invariant Fourier descriptors to recognition of 3-D objects
Abstract
The method of Fourier descriptors is extended to produce a set of normalized coefficients which are invariant under any affine transformation (translation, rotation, scaling, and shearing). The method is based on a parameterized boundary description which is transformed to the Fourier domain and normalized there to eliminate dependencies on the affine transformation and on the starting point. Invariance to affine transforms allows considerable robustness when applied to images of objects which rotate in all three dimensions, as is demonstrated by processing silhouettes of aircraft maneuvering in three-space.>
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Cites
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Pattern Classification and Scene Analysis
Thompson, M., Duda, R. O., & Hart, P. E. (1974) · Leonardo · doi:10.2307/1573081 · Cited by 4,495
Fourier Descriptors for Plane Closed Curves
Zahn, C. T., & Roskies, R. Z. (1972) · IEEE Transactions on Computers · doi:10.1109/tc.1972.5008949 · Cited by 1,860
Elliptic Fourier features of a closed contour
Kuhl, F. P., & Giardina, C. R. (1982) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(82)90034-x · Cited by 1,839
The Fourier integral and its applications
Papoulis, A. (1962) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,650
Shape Discrimination Using Fourier Descriptors
Persoon, E., & Fu, K.-S. (1977) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1977.4309681 · Cited by 1,073
Fourier Preprocessing for Hand Print Character Recognition
Granlund, G. H. (1972) · IEEE Transactions on Computers · doi:10.1109/tc.1972.5008926 · Cited by 580
Three-dimensional model matching from an unconstrained viewpoint
Thompson, D., & Mundy, J. (2005) · Proceedings. 1987 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1987.1088004 · Cited by 232
Identification of Three-Dimensional Objects Using Fourier Descriptors of the Boundary Curve
Richard, C. W., & Hemami, H. (1974) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/tsmc.1974.5408458 · Cited by 148
Cited by
Funkhouser, T., Min, P., Kazhdan, M., Chen, J., Halderman, A., Dobkin, D., & Jacobs, D. (2003) · ACM Transactions on Graphics · doi:10.1145/588272.588279 · Cited by 935
Kauppinen, H., Seppanen, T., & Pietikainen, M. (1995) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.368168 · Cited by 386
A novel approach for quantitative assessment of mucosal damage in inflammatory bowel disease
Matalka, I. I., Al-Omari, F. A., Salama, R. M., & Mohtaseb, A. H. (2013) · Diagnostic Pathology · doi:10.1186/1746-1596-8-156 · Cited by 25
“Assume that K boundary point samples are collected to represent the curve, then the Discrete Fourier Transform (DFT) can be used to calculate the K complex values representing the Fourier Transform of the closed curve in the frequency domain, such that, [18] z uð Þ ¼ 1 K XK−1 k¼0 r kð Þe−2πuk=K ; ∀u ¼ 0; 1;…;K−1; ð1Þ…”
Influential
Metadata
- Authors
- Arbter, K., Snyder, W. E., Burkhardt, H., & Hirzinger, G.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1990-07
- Volume
- 12
- Issue
- 7
- Pages
- 640-647
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2105664606
- Cited by
- 396
- References
- 9
- FWCI
- 9.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Arbter, K., Snyder, W. E., Burkhardt, H., & Hirzinger, G. (1990). Application of affine-invariant Fourier descriptors to recognition of 3-D objects. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.56206
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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.