The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
Scale & Affine Invariant Interest Point Detectors
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Using the determinant of the Hessian matrix rather than its trace (the Laplacian) seems advantageous, as it fires less on elongated, ill-localised structures.”
From SURF: Speeded Up Robust Features (2006) · cites this paper as [15]
In the citing paper
“By studying the existing detectors and from published comparisons [15, 8], we can conclude that (1) Hessian-based detectors are more stable and repeatable than their Harris-based counterparts.”
From SURF: Speeded Up Robust Features (2006) · cites this paper as [15]
In the citing paper
“Also, (2) approximations like the DoG can bring speed at a low cost in terms of lost accuracy.”
From SURF: Speeded Up Robust Features (2006) · cites this paper as [15]
Citations
Cites
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Robust wide-baseline stereo from maximally stable extremal regions
Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.006 · Cited by 3,760
The design and use of steerable filters
Freeman, W. T., & Adelson, E. H. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.93808 · Cited by 2,937
Feature detection with automatic scale selection
Lindeberg, T. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008045108935 · Cited by 2,541
Evaluation of Interest Point Detectors
Schmid, C., Mohr, R., & Bauckhage, C. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008199403446 · Cited by 1,484
Self-citationLocal grayvalue invariants for image retrieval
Schmid, C., & Mohr, R. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.589215 · Cited by 1,430
Self-citationAn Affine Invariant Interest Point Detector
Mikolajczyk, K., & Schmid, C. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47969-4_9 · Cited by 1,325
Self-citation
Research works printed but not linked: 5
- Förstner,W. and Gülchm, E. 1987. A fast operator for detection and precise location of distinct points, corners and centres of circular features. In Intercommission Conference on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, pp. 281–305.
- Lazebnik, S., Schmid, C., and Ponce, J. 2003. Sparse texture representation using affine-invariant neighborhoods. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin, USA, pp. 319–324.
- Mikolajczyk, K. 2002. Interest point detection invariant to affine transformations. PhD thesis, Institut National Polytechnique de Grenoble.
- Pritchett, P. and Zisserman, A. 1998.Wide baseline stereo matching. In Proceedings of the 6th International Conference on Computer Vision, Bombay, India. IEEE Computer Society Press, pp. 754–760.
- Schaffalitzky, F. and Zisserman, A. 2002. Multi-view matching for unordered image sets. In Proceedings of the 7th European Conference on Computer Vision, Copenhagen, Denmark, pp. 414–431.
Cited by
Sorted by citations
Items 1,001–1,003 of 1,003
Automatic staging of placental maturity based on dense descriptor
Li, X., Yao, Y., Ni, D., Chen, S., Li, S., Lei, B., & Wang, T. (2014) · Bio-Medical Materials and Engineering · doi:10.3233/bme-141100 · Cited by 12
Automatic grading of placental maturity based on LIOP and fisher vector
Lei, B., Li, X., Yao, Y., Li, S., Chen, S., Zhou, Y., Ni, D., & Wang, T. (2014) · 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc.2014.6944666 · Cited by 8
Survey of Visual Feature Extraction Algorithms in a Mars-like Environment
Oelsch, M., Van Opdenbosch, D., & Steinbach, E. (2017) · 2017 IEEE International Symposium on Multimedia (ISM) · doi:10.1109/ism.2017.58 · Cited by 7
Metadata
- Authors
- Mikolajczyk, K., & Schmid, C.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Venue
- International Journal of Computer Vision
- Published
- 2004-10
- Volume
- 60
- Issue
- 1
- Pages
- 63-86
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2172188317
- Cited by
- 3,436
- References
- 45
- Citations by year
- 2026: 17 · 2025: 35 · 2024: 47 · 2023: 64 · 2022: 66 · 2021: 94 · 2020: 93 · 2019: 124 · 2018: 103 · 2017: 160 · 2016: 186 · 2015: 277 · 2014: 251 · 2013: 279 · 2012: 270
- FWCI
- 116.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Object Detection Techniques
- Keywords
- keypoint detection, scale invariance, affine invariance, Harris corner detector, structure tensor, multi-scale representation, image matching
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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