The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A framework for low level feature extraction
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Probability, Random Variables, and Stochastic Processes.
Abrahams, J., & Papoulis, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288754 · Cited by 16,226
Torre, V., & Poggio, T. A. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767769 · Cited by 989
Kass, M., & Witkin, A. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/0734-189x(87)90043-0 · Cited by 612
In search of a general picture processing operator
Granlund, G. H. (1978) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(78)90047-3 · Cited by 298
Accuracy of laplacian edge detectors
Berzins, V. (1984) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(84)80043-2 · Cited by 174
Optical flow from spatialtemporal filters
Heeger, D. J. (1987) · Cited by 132
Texture Analysis Using Two-Dimensional Quadrature Filters
Knutsson, H. E., & Granlund, G. H. (1983) · Cited by 114
Detection of general edges and keypoints
Rosenthaler, L., Heitger, F., Kübler, O., & von der Heydt, R. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55426-2_10 · Cited by 64
Texture segmentation by minimizing vector-valued energy functionals: The Coupled-Membrane model
Lee, T. S., Mumford, D. B., & Yuille, A. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55426-2_19 · Cited by 53
Cited by
Scale & Affine Invariant Interest Point Detectors
Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000027790.02288.f2 · Cited by 3,436
Is bottom-up attention useful for object recognition?
Rutishauser, U., Walther, D., Koch, C., & Perona, P. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · doi:10.1109/cvpr.2004.1315142 · Cited by 592
Belongie, S., Carson, C., Greenspan, H., & Malik, J. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710790 · Cited by 474
Gao, D., Han, S., & Vasconcelos, N. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.27 · Cited by 294
Comparing and evaluating interest points
Schmid, C., Mohr, R., & Bauckhage, C. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710723 · Cited by 265
Reconstruction of 3D building models from aerial images and maps
Suveg, I., & Vosselman, G. (2004) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2003.09.006 · Cited by 262
Steger, C. (2017) · Handbook of Machine and Computer Vision · doi:10.1002/9783527413409.ch9 · Cited by 6
Metadata
- Authors
- Förstner, W.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1994
- Pages
- 383-394
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W174126042
- Cited by
- 268
- References
- 12
- FWCI
- 5.95
- Type
- conference paper
- Language
- en
- Open access
- bronze
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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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.