An Affine Invariant Interest Point Detector
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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 · see citing works
A Combined Corner and Edge Detector
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Self-citationIndexing based on scale invariant interest points
Mikolajczyk, K., & Schmid, C. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937561 · Cited by 1,101 · see citing works
Self-citationReliable feature matching across widely separated views
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Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
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Matching images with different resolutions
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Self-citationFingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
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Distinctive Image Features from Scale-Invariant Keypoints
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SURF: Speeded Up Robust Features
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Speeded-Up Robust Features (SURF)
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A performance evaluation of local descriptors
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Self-citationVideo Google: a text retrieval approach to object matching in videos
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Machine Learning for High-Speed Corner Detection
Rosten, E., & Drummond, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_34 · Cited by 4,555 · see citing works
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 · see citing works
Self-citationOne-shot learning of object categories
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A comparison of affine region detectors
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., & Gool, L. V. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-3848-x · Cited by 2,939 · see citing works
Self-citationA performance evaluation of local descriptors
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Self-citationSampling Strategies for Bag-of-Features Image Classification
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Monocular model-based 3D tracking of rigid objects: a survey
Lepetit, V., & Fua, P. (2005) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000001 · Cited by 484 · see citing works
Real-Time Scale Selection in Hybrid Multi-scale Representations
Lindeberg, T., & Bretzner, L. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-44935-3_11 · Cited by 85 · see citing works
- Authors
- Mikolajczyk, K., & Schmid, C.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- 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
- green
- inria.hal.science
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- 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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