Cited by 1,325Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification TechniquesImage and Object Detection Techniques

An Affine Invariant Interest Point Detector

Open access
Mikolajczyk, Krystian, Schmid, Cordelia·2002·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/3-540-47969-4_9

Cites

17 of 17 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

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Authors
Mikolajczyk, K., & Schmid, C.
Affiliations
Centre National de la Recherche Scientifique (FR)
Venue
Lecture Notes in Computer Science
Published
2002
Volume
2350
Pages
128-142
ISSN
0302-9743 (ISSN-L)
OpenAlex
W1676552347
Cited by
1,325
References
17
Citations by year
2026: 2 · 2025: 9 · 2024: 18 · 2023: 17 · 2022: 12 · 2021: 29 · 2020: 37 · 2019: 53 · 2018: 41 · 2017: 65 · 2016: 64 · 2015: 73 · 2014: 82 · 2013: 77 · 2012: 89
FWCI
35.14
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • HAL (submittedVersion, other-oa)
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, affine transformation, scale normalization, Harris corner detector, multi-scale detection, iterative refinement, illumination invariance, wide baseline matching, image recognition, large-scale change

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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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