Scale & Affine Invariant Interest Point Detectors
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Using the determinant of the Hessian matrix rather than its trace (the Laplacian) is advantageous, as it fires less on elongated, ill-localised structures.
“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]
Hessian-based detectors are more stable and repeatable than their Harris-based counterparts.
“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]
Approximations like the DoG can bring speed at a low cost in terms of lost accuracy.
“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]
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- 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.
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