The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
Abstract
`Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then described by a set of invariant features, which makes it relatively easy to match them between views and under changing illumination. In previous work, we have presented invariant regions that are based on a combination of corners and edges. The application discussed then was image database retrieval. Here, an alternative method for extracting (affinely) invariant regions is given, that does not depend on the presence of edges or corners in the image but is purely intensity-based. Also, we demonstrate the use of such regions for another application, which is wide baseline stereo matching. As a matter of fact, the goal is to build an opportunistic system that exploits several types of invariant regions as it sees fit. This yields more correspondences and a system that can deal with a wider range of images. To increase t...
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Cites
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
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
The fundamental matrix: Theory, algorithms, and stability analysis
Luong, Q.-T., & Faugeras, O. D. (1996) · International Journal of Computer Vision · doi:10.1007/bf00127818 · Cited by 677
Content-Based Image Retrieval Based on Local Affinely Invariant Regions
Tuytelaars, T., & Van Gool, L. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48762-x_61 · Cited by 189
Self-citationDirect computation of shape cues using scale-adapted spatial derivative operators
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Recognizing color patterns irrespective of viewpoint and illumination
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Self-citationWide Baseline Point Matching Using Affine Invariants Computed from Intensity Profiles
Tell, D., & Carlsson, S. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45054-8_53 · Cited by 95
Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods
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Cited by
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955
Self-citationSpeeded-Up Robust Features (SURF)
Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.09.014 · Cited by 13,557
Self-citationA performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367
Metadata
- Authors
- Tuytelaars, T., & Gool, L. V.
- Venue
- Procedings of the British Machine Vision Conference 2000
- Publisher
- British Machine Vision Association
- Published
- 2000
- Pages
- 38.1-38.14
- OpenAlex
- W2005433550
- Cited by
- 450
- References
- 8
- FWCI
- 19.41
- Type
- conference paper
- Language
- en
- Open access
- closed
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